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• Don’t miss this very popular presentation on Punchout in iProcurement on June 26th 2012

  - by user793553

  Don’t miss this very popular presentation on Punchout in iProcurement on June 26th.  See Doc ID 1448447.1 for the Webcast details. ADVISOR WEBCAST: Punchout in iProcurement PRODUCT FAMILY: EBZs- Procurement   June 26, 2012 at 14:00 UK / 15:00 Cairo / 6:00 am Pacific / 7:00 am Mountain / 9:00 am Eastern This one-hour session is recommended for technical and functional users who are maintaining and/or implementing the Punchout from iProcurement. The session will provide an overview of the different Punchout model, setup, and the Punchout to PO xml/cxml cycle. Also, it will provide tips in troubleshooting the common issues when new supplier is added to Punchout or the existing one stops working. TOPICS WILL INCLUDE: Overview of the Punchout Models. Provide the knowledge in the Punchout to PO Process cycle. Demo - Punchout. Certificates and setup. Learn the common issues and how to address in an efficient way. (Documentation and Notes) A short, live demonstration (only if applicable) and question and answer period will be included. Oracle Advisor Webcasts are dedicated to building your awareness around our products and services. This session does not replace offerings from Oracle Global Support Services. Current Schedule can be found on Note 740966.1 Post Presentation Recordings can be found on Note 740964.1 WebEx Conference Details Topic: Advisor Webcast - Punchout in iProcuremen Date and Time: Tuesday, June 26, 2012 3:00 pm, Egypt Time (Cairo, GMT+02:00) Tuesday, June 26, 2012 2:00 pm, GMT Summer Time (London, GMT+01:00) Tuesday, June 26, 2012 9:00 am, Eastern Daylight Time (New York, GMT-04:00) Tuesday, June 26, 2012 7:00 am, Mountain Daylight Time (Denver, GMT-06:00) Event number: 597 373 155 -------------------------------------------------------  To register for this meeting  -------------------------------------------------------  1. Event address for attendees: https://oracleaw.webex.com/oracleaw/onstage/g.php?d=597373155&t=a 2. Register for the meeting.  Once the host approves your request, you will receive a confirmation email with instructions for joining the meeting. InterCall Audio Instructions A list of Toll-Free Numbers can be found below. VOICESTREAMING IS AVAILABLE teleconference ID: 70528713 UK standard International:+44 1452 562 665 US Free Call: 1866 230 1938 US Local call: 1845 608 8023 Global Toll-Free Numbers MOS doc#:  https://metalink3.oracle.com/od/faces/secure/km/DocumentDisplay.jspx?id=1148600.1 Designation Number Argentina Free Call 0800 444 1009 Australia Free Call 1800 763 650 Austria Free Call 0800 111 956 Austria Local Call 0192 865 72 Belgium Free Call 0800 724 46 Belgium Local Call 0817 000 60 Brazil Free Call 0800 761 0835 Bulgaria Free Call 0080 011 511 76 Canada Free Call 1866 984 6577 Columbia Free Call 0180 091 562 17 Croatia Free Call 0800 222 305 Cyprus Free Call 8009 6341 Czech Republic Free Call 8007 007 95 Denmark Free Call 8088 8467 Denmark Local Call 3272 7506 Finland Free Call 0800 112 398 Finland Local Call 0923 114 014 France Free Call 0805 110 463 France Local Call 0359 580 290 Germany Free Call 0800 101 4918 Germany Local Call 0692 222 161 19 Greece Free Call 0080 012 8135 Hong Kong Free Call 8009 661 55 Hungary Free Call 0680 018 839 Hungary Local Call 0180 889 97 India Free Call 0008 001 006 600 Ireland Free Call 1800 300 170 Ireland Local Call 0143 198 35 Israel Free Call 1809 431 440 Italy Free Call 8007 840 87 Italy Local Call 0236 009 700 Japan Free Call 0066 338 124 31 Latvia Free Call 8000 3680 Luxembourg Free Call 8002 7941 Malaysia Free Call 1800 814 528 Mexico Free Call 0018 666 864 905 Monaco Free Call 8009 3655 Netherlands Free Call 0800 949 4596 Netherlands Local Call 0207 168 000 New Zealand Free Call 0800 451 190 North China Free Call 1080 074 413 29 Norway Free Call 8001 8057 Norway Local Call 2151 0847 Poland Free Call 0080 012 135 73 Portugal Free Call 8007 894 20 Romania Free Call 0800 895 558 Russia Free Call 8108 002 385 2044 Slovenia Free Call 0800 804 55 South Africa Free Call 0800 982 794 South China Free Call 1080 044 111 82 South Korea Free Call 0079 814 800 7887 Spain Free Call 9009 389 85 Spain Local Call 9111 421 10 Sweden Free Call 0200 214 344 Sweden Local Call 0850 596 375 Switzerland Free Call 0800 835 040 Switzerland Local Call 0445 804 280 Thailand Free Call 0018 004 421 98 UK Free Call 0800 073 1830 UK Local Call 0844 871 9364 UK National Call 0871 700 0309 UK Standard International +44 (0) 1452 562 665 USA Free Call 1866 230 1938   Back to the top   Copyright? 2010, Oracle. All rights reserved. Contact Us | Legal Notices and Terms of Use | Privacy Statement

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• New Communications Industry Data Model with "Factory Installed" Predictive Analytics using Oracle Da

  - by charlie.berger

  Oracle Introduces Oracle Communications Data Model to Provide Actionable Insight for Communications Service Providers   We've integrated pre-installed analytical methodologies with the new Oracle Communications Data Model to deliver automated, simple, yet powerful predictive analytics solutions for customers.  Churn, sentiment analysis, identifying customer segments - all things that can be anticipated and hence, preconcieved and implemented inside an applications.  Read on for more information! TM Forum Management World, Nice, France - 18 May 2010 News Facts To help communications service providers (CSPs) manage and analyze rapidly growing data volumes cost effectively, Oracle today introduced the Oracle Communications Data Model. With the Oracle Communications Data Model, CSPs can achieve rapid time to value by quickly implementing a standards-based enterprise data warehouse that features communications industry-specific reporting, analytics and data mining. The combination of the Oracle Communications Data Model, Oracle Exadata and the Oracle Business Intelligence (BI) Foundation represents the most comprehensive data warehouse and BI solution for the communications industry. Also announced today, Hong Kong Broadband Network enhanced their data warehouse system, going live on Oracle Communications Data Model in three months. The leading provider increased its subscriber base by 37 percent in six months and reduced customer churn to less than one percent. Product Details Oracle Communications Data Model provides industry-specific schema and embedded analytics that address key areas such as customer management, marketing segmentation, product development and network health. CSPs can efficiently capture and monitor critical data and transform it into actionable information to support development and delivery of next-generation services using: More than 1,300 industry-specific measurements and key performance indicators (KPIs) such as network reliability statistics, provisioning metrics and customer churn propensity. Embedded OLAP cubes for extremely fast dimensional analysis of business information. Embedded data mining models for sophisticated trending and predictive analysis. Support for multiple lines of business, such as cable, mobile, wireline and Internet, which can be easily extended to support future requirements. With Oracle Communications Data Model, CSPs can jump start the implementation of a communications data warehouse in line with communications-industry standards including the TM Forum Information Framework (SID), formerly known as the Shared Information Model. Oracle Communications Data Model is optimized for any Oracle Database 11g platform, including Oracle Exadata, which can improve call data record query performance by 10x or more. Supporting Quotes "Oracle Communications Data Model covers a wide range of business areas that are relevant to modern communications service providers and is a comprehensive solution - with its data model and pre-packaged templates including BI dashboards, KPIs, OLAP cubes and mining models. It helps us save a great deal of time in building and implementing a customized data warehouse and enables us to leverage the advanced analytics quickly and more effectively," said Yasuki Hayashi, executive manager, NTT Comware Corporation. "Data volumes will only continue to grow as communications service providers expand next-generation networks, deploy new services and adopt new business models. They will increasingly need efficient, reliable data warehouses to capture key insights on data such as customer value, network value and churn probability. With the Oracle Communications Data Model, Oracle has demonstrated its commitment to meeting these needs by delivering data warehouse tools designed to fill communications industry-specific needs," said Elisabeth Rainge, program director, Network Software, IDC. "The TM Forum Conformance Mark provides reassurance to customers seeking standards-based, and therefore, cost-effective and flexible solutions. TM Forum is extremely pleased to work with Oracle to certify its Oracle Communications Data Model solution. Upon successful completion, this certification will represent the broadest and most complete implementation of the TM Forum Information Framework to date, with more than 130 aggregate business entities," said Keith Willetts, chairman and chief executive officer, TM Forum. Supporting Resources Oracle Communications Oracle Communications Data Model Data Sheet Oracle Communications Data Model Podcast Oracle Data Warehousing Oracle Communications on YouTube Oracle Communications on Delicious Oracle Communications on Facebook Oracle Communications on Twitter Oracle Communications on LinkedIn Oracle Database on Twitter The Data Warehouse Insider Blog

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• The Power to Control Power

  - by speakjava

  I'm currently working on a number of projects using embedded Java on the Raspberry Pi and Beagle Board.  These are nice and small, so don't take up much room on my desk as you can see in this picture. As you can also see I have power and network connections emerging from under my desk.  One of the (admittedly very minor) drawbacks of these systems is that they have no on/off switch.  Instead you insert or remove the power connector (USB for the RasPi, a barrel connector for the Beagle).  For the Beagle Board this can potentially be an issue; with the micro-SD card located right next to the connector it has been known for people to eject the card when trying to power off the board, which can be quite serious for the hardware. The alternative is obviously to leave the boards plugged in and then disconnect the power from the outlet.  Simple enough, but a picture of underneath my desk shows that this is not the ideal situation either. This made me think that it would be great if I could have some way of controlling a mains voltage outlet using a remote switch or, even better, from software via a USB connector.  A search revealed not much that fit my requirements, and anything that was close seemed very expensive.  Obviously the only way to solve this was to build my own.Here's my solution.  I decided my system would support both control mechanisms (remote physical switch and USB computer control) and be modular in its design for optimum flexibility.  I did a bit of searching and found a company in Hong Kong that were offering solid state relays for 99p plus shipping (£2.99, but still made the total price very reasonable).  These would handle up to 380V AC on the output side so more than capable of coping with the UK 240V supply.  The other great thing was that being solid state, the input would work with a range of 3-32V and required a very low current of 7.5mA at 12V.  For the USB control an Arduino board seemed the obvious low-cost and simple choice.  Given the current requirments of the relay, the Arduino would not require the additional power supply and could be powered just from the USB.Having secured the relays I popped down to Homebase for a couple of 13A sockets, RS for a box and an Arduino and Maplin for a toggle switch.  The circuit is pretty straightforward, as shown in the diagram (only one output is shown to make it as simple as possible).  Originally I used a 2 pole toggle switch to select the remote switch or USB control by switching the negative connections of the low voltage side.  Unfortunately, the resistance between the digital pins of the Arduino board was not high enough, so when using one of the remote switches it would turn on both of the outlets.  I changed to a 4 pole switch and isolated both positive and negative connections. IMPORTANT NOTE: If you want to follow my design, please be aware that it requires working with mains voltages.  If you are at all concerned with your ability to do this please consult a qualified electrician to help you.It was a tight fit, especially getting the Arduino in, but in the end it all worked.  The completed box is shown in the photos. The remote switch was pretty simple just requiring the squeezing of two rocker switches and a 9V battery into the small RS supplied box.  I repurposed a standard stereo cable with phono plugs to connect the switch box to the mains outlets.  I chopped off one set of plugs and wired it to the rocker switches.  The photo shows the RasPi and the Beagle board now controllable from the switch box on the desk. I've tested the Arduino side of things and this works fine.  Next I need to write some software to provide an interface for control of the outlets.  I'm thinking a JavaFX GUI would be in keeping with the total overkill style of this project.

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• new to lists on python

  - by user1762229

  This is my current code: while True: try: mylist = [0] * 7 for x in range(7): sales = float(input("Sales for day:")) mylist[x] = sales if sales < 0: print ("Sorry,invalid. Try again.") except: print ("Sorry, invalid. Try again.") else: break print (mylist) best = max(sales) worst = min(sales) print ("Your best day had", best, "in sales.") print ("Your worst day had", worst, "in sales.") When I run it I get this: Sales for day:-5 Sorry,invalid. Try again. Sales for day:-6 Sorry,invalid. Try again. Sales for day:-7 Sorry,invalid. Try again. Sales for day:-8 Sorry,invalid. Try again. Sales for day:-9 Sorry,invalid. Try again. Sales for day:-2 Sorry,invalid. Try again. Sales for day:-5 Sorry,invalid. Try again. [-5.0, -6.0, -7.0, -8.0, -9.0, -2.0, -5.0] Traceback (most recent call last): File "C:/Users/Si Hong/Desktop/HuangSiHong_assign9_part.py", line 45, in <module> best = max(sales) TypeError: 'float' object is not iterable I am not quite sure how to code it so that, the lists do NOT take in negative values, because I only want values 0 or greater. I am not sure how to solve the TypeError issue so that the min and max values will print as in my code My last issue is, if I want to find the average value of the seven inputs that an user puts in, how should I go about this in pulling the values out of the lists Thank you so much

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• Your thoughts on Best Practices for Scientific Computing?

  - by John Smith

  A recent paper by Wilson et al (2014) pointed out 24 Best Practices for scientific programming. It's worth to have a look. I would like to hear opinions about these points from experienced programmers in scientific data analysis. Do you think these advices are helpful and practical? Or are they good only in an ideal world? Wilson G, Aruliah DA, Brown CT, Chue Hong NP, Davis M, Guy RT, Haddock SHD, Huff KD, Mitchell IM, Plumbley MD, Waugh B, White EP, Wilson P (2014) Best Practices for Scientific Computing. PLoS Biol 12:e1001745. http://www.plosbiology.org/article/info%3Adoi%2F10.1371%2Fjournal.pbio.1001745 Box 1. Summary of Best Practices Write programs for people, not computers. (a) A program should not require its readers to hold more than a handful of facts in memory at once. (b) Make names consistent, distinctive, and meaningful. (c) Make code style and formatting consistent. Let the computer do the work. (a) Make the computer repeat tasks. (b) Save recent commands in a file for re-use. (c) Use a build tool to automate workflows. Make incremental changes. (a) Work in small steps with frequent feedback and course correction. (b) Use a version control system. (c) Put everything that has been created manually in version control. Don’t repeat yourself (or others). (a) Every piece of data must have a single authoritative representation in the system. (b) Modularize code rather than copying and pasting. (c) Re-use code instead of rewriting it. Plan for mistakes. (a) Add assertions to programs to check their operation. (b) Use an off-the-shelf unit testing library. (c) Turn bugs into test cases. (d) Use a symbolic debugger. Optimize software only after it works correctly. (a) Use a profiler to identify bottlenecks. (b) Write code in the highest-level language possible. Document design and purpose, not mechanics. (a) Document interfaces and reasons, not implementations. (b) Refactor code in preference to explaining how it works. (c) Embed the documentation for a piece of software in that software. Collaborate. (a) Use pre-merge code reviews. (b) Use pair programming when bringing someone new up to speed and when tackling particularly tricky problems. (c) Use an issue tracking tool. I'm relatively new to serious programming for scientific data analysis. When I tried to write code for pilot analyses of some of my data last year, I encountered tremendous amount of bugs both in my code and data. Bugs and errors had been around me all the time, but this time it was somewhat overwhelming. I managed to crunch the numbers at last, but I thought I couldn't put up with this mess any longer. Some actions must be taken. Without a sophisticated guide like the article above, I started to adopt "defensive style" of programming since then. A book titled "The Art of Readable Code" helped me a lot. I deployed meticulous input validations or assertions for every function, renamed a lot of variables and functions for better readability, and extracted many subroutines as reusable functions. Recently, I introduced Git and SourceTree for version control. At the moment, because my co-workers are much more reluctant about these issues, the collaboration practices (8a,b,c) have not been introduced. Actually, as the authors admitted, because all of these practices take some amount of time and effort to introduce, it may be generally hard to persuade your reluctant collaborators to comply them. I think I'm asking your opinions because I still suffer from many bugs despite all my effort on many of these practices. Bug fix may be, or should be, faster than before, but I couldn't really measure the improvement. Moreover, much of my time has been invested on defence, meaning that I haven't actually done much data analysis (offence) these days. Where is the point I should stop at in terms of productivity? I've already deployed: 1a,b,c, 2a, 3a,b,c, 4b,c, 5a,d, 6a,b, 7a,7b I'm about to have a go at: 5b,c Not yet: 2b,c, 4a, 7c, 8a,b,c (I could not really see the advantage of using GNU make (2c) for my purpose. Could anyone tell me how it helps my work with MATLAB?)

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• Simplifying a four-dimensional rule table in Matlab: addressing rows and columns of each dimension

  - by Cate

  Hi all. I'm currently trying to automatically generate a set of fuzzy rules for a set of observations which contain four values for each observation, where each observation will correspond to a state (a good example is with Fisher's Iris Data). In Matlab I am creating a four dimensional rule table where a single cell (a,b,c,d) will contain the corresponding state. To reduce the table I am following the Hong and Lee method of row and column similarity checking but I am having difficulty understanding how to address the third and fourth dimensions' rows and columns. From the method it is my understanding that each dimension is addressed individually and if the rule is true, the table is simplified. The rules for merging are as follows: If all cells in adjacent columns or rows are the same. If two cells are the same or if either of them is empty in adjacent columns or rows and at least one cell in both is not empty. If all cells in a column or row are empty and if cells in its two adjacent columns or rows are the same, merge the three. If all cells in a column or row are empty and if cells in its two adjacent columns or rows are the same or either of them is empty, merge the three. If all cells in a column or row are empty and if all the non-empty cells in the column or row to its left have the same region, and all the non-empty cells in the column or row to its right have the same region, but one different from the previously mentioned region, merge these three columns into two parts. Now for the confusing bit. Simply checking if the entire row/column is the same as the adjacent (rule 1) seems simple enough: if (a,:,:,:) == (a+1,:,:,:) (:,b,:,:) == (:,b+1,:,:) (:,:,c,:) == (:,:,c+1,:) (:,:,:,d) == (:,:,:,d+1) is this correct? but to check if the elements in the row/column match, or either is zero (rules 2 and 4), I am a bit lost. Would it be something along these lines: for a = 1:20 for i = 1:length(b) if (a+1,i,:,:) == (a,i,:,:) ... else if (a+1,i,:,:) == 0 ... else if (a,i,:,:) == 0 etc. and for the third and fourth dimensions: for c = 1:20 for i = 1:length(a) if (i,:,c,:) == (i,:,c+1,:) ... else if (i,:,c+1,:) == 0 ... else if (i,:,c,:) == 0 etc. for d = 1:20 for i = 1:length(a) if (i,:,:,d) == (i,:,:,d+1) ... else if (i,:,:,d+1) == 0 ... else if (i,:,:,d) == 0 etc. even any help with four dimensional arrays would be useful as I'm so confused by the thought of more than three! I would advise you look at the paper to understand my meaning - they themselves have used the Iris data but only given an example with a 2D table. Thanks in advance, hopefully!

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• CodePlex Daily Summary for Monday, June 14, 2010

  CodePlex Daily Summary for Monday, June 14, 2010New ProjectsBD File Hash: BD File Hash is a convenient file hash and hash compare tool for Windows which currently works with MD5, SHA-1, and SHA-256 algorithms. FileScan: This is an application that searches through a drive or directory structure for files matching a filter. This project was converted from VB to ...genesis9: genesis9HeinanOS: HeinanOS is an operating system developed mainly in C++. HeinanOS is a light OS (1.44 MB image) with a lot of capabilites and many more are being ...MediaBrowserWS - Creates a Web Service for the popular MediaBrowser plugin: Creates a web service in Media Center for accessing your MediaBrowser collection. Allows for external devices (Tablets/phones/laptops) to access a ...MME: New Edition of Managed Menu Extensions for Visual Studio 2010 The Main goal of "MME" is to provide easy access to adding Right Click menus in the ...MVMMapper: Generate the ViewModel and its mapping to the Model when implementing MVVM in .NET. Developed using T4 templates. Current version supports Silver...ProjectArDotNet: Si te agarro te parto! Si te agarro te emperno no me importa que seas menor de edad!Scriptagility for DotNetNuke: Scriptagility is a DotNetNuke module for Javascript developers. This module provides dynamic client scripting infrastructure for developing javascr...simpleLinux Distro: SimpleLinux. is a Linux distributions that is easy to use. Simple Linux website: http://simplelinux.tkTag Cloud Control for asp.net: Tag Cloud Control for asp.net allows the user to display the most important keywords to display in tag cloud. Each Tag has it own navigation url to...thefreeimdb: fsadie qwUppityUp: UppityUp is a simple and light-weight tray application which monitors a remote server and shows a notification when it comes online. This is usefu...Vivid3D 2 - DirectX 10 3D ToolKit: The sequel to my first ever engine wrote several years ago. It is not based on it in anyway. VSIDev: VSI DevXTQXK_WORK: Actionscript 3.0东坡博客: 这是一个ASP。net mvc 2博客。New Releases.NET Extensions - Extension Methods Library: Release 2010.08: Added extension methods for Bitmap manipulation (scaling for now): - Bitmap.ScaleToSize() - Bitmap.ScaleToSizeProportional() - Bitmap.ScaleProport...Black Falcon Software's Database Data-Access-Layers: “SQLHELPER”, “ORAHELPER” - Handling Binary Data: See attached document...BTech Networking Library: BTech Networking Library: Same as pervious just new namespace, extended networking coming soon!!!Community Forums NNTP bridge: Community Forums NNTP Bridge V37: Release of the Community Forums NNTP Bridge to access the social and anwsers MS forums with a single, open source NNTP bridge. This release has ad...Generic Entity Model 2: GEM2 build 54383: This is second BETA release of GEM2! Please see source code change sets for updates! Following implementation is not included in this release: My...Hades: Projet Hadès - Official Demo - Version 0.1.0 Beta: ---------------------------------------------------------------------------- - Projet Hadès - Official Demo - Version 0.1.0 Beta ------------------...HeinanOS: HeinanOS M1 Source Code: You can download HeinanOS M1 Source Code and contribute to HeinanOS development! Be aware that you should not use this code for your own systems! ...HeinanOS: Milestone 1: This is the first major release for HeinanOS 1.0 Please note this is a PRE-RELEASE! This release includes the following features: -Bootable DOS-...HKGolden Express: HKGoldenExpress (Build 201006131900): New features: (None) Bug fix: Incorrect message submit date of message/ replies. (Note: Showing message submit date is enabled since Build 20100...HKGolden Express: HKGoldenExpress (Build 201006140110): New features: (None) Bug fix: (None) Improvements: (None) Other changes: Set time zone of message date as Hong Kong. Adjusted the format of messa...MediaCoder.NET: MediaCoder.NET v1.0 Beta 1.5: Installer file for MediaCoder.NET v1.0 beta 1.5. Now converts multiple files.MME: First release: Features of this release 1. One installer MME.msi. However you can also install MMEMenuManagerSetup.vsix which installs a project template that e...MSBuild Launch Pad (mPad): 1.1 Beta 1: Platform selection box is added.MVMMapper: MVMMapper Release v 1.0.1: This release has no downloadable documentation. Please use the Documentation section to get started.NginxTray: NginxTray 0.7 RC2: NginxTray 0.7 RC2PowerAuras: PowerAuras-3.0.0K-beta3: New Auras: Item Name Equipment Slot Tracking Changes from beta1 5 new aura textures Fixed Tracking bug Added graphical equipment slot sele...PowerAuras: PowerAuras-3.0.0K-beta4: New Auras: Item Name Equipment Slot Tracking Changes from beta1 5 new aura textures Fixed Tracking bug Added graphical equipment slot sele...Scriptagility for DotNetNuke: Scriptagility 1.0 (Beta): Initial public release please evaluate and feedbackSharpDevelop: SharpDevelop 4.0 Beta 1: Release notes: http://community.sharpdevelop.net/forums/t/11388.aspxsimpleLinux Distro: Project X3: This is an example of download for simpleLinuxSOAPI - StackOverflow API Parser/Wrapper Generator: SOAPI Beta 3: The SOAPI Beta 3 download will be made availabe later today when the initial documentation is complete. The previously available Beta 1 download h...Sofa: Initial release V1.0: This is the first release of Sofa. As it is made of code being previously used, as we tested it is a stable release. But bugs are always possible,...Tag Cloud Control for asp.net: Tag Cloud Control for asp.net: Tag Cloud Control for asp.net allows the user to display the most important keywords to display in tag cloud. Each Tag has it own navigation url to...UppityUp: UppityUp v0.1: First functional version, supports monitoring availability by ping (ICMP) requests. Fit for general use. Consists of one standalone .exe file - no...VCC: Latest build, v2.1.30613.0: Automatic drop of latest buildWindStyle ExifInfo for Windows Live Writer: 1.1.0.0: Add: Multiple Language(English and Simplified Chinese); Add: Insert multiple files; Fix: Error when insert pictures without Exif info; Update: Icon...Work Recorder - Hold on own time!: WorkRecorder 1.2: +Add a whole day chartXsltDb - DotNetNuke Module Builder: 01.01.24: Syntax highlighting delivered!New samples for RadControls. On single page you can find RadTreeView, RadRating, RadChart, RadFormDecorator, RadEdito...xUnit.net Contrib: xunitcontrib 0.4 (ReSharper 5.0 RTM + dotCover): xunitcontrib release 0.4 (ReSharper runner) This release provides a test runner plugin for Resharper 5.0, 4.5 and 4.1, targetting all versions of x...Most Popular ProjectsCommunity Forums NNTP bridgeRIA Services EssentialsNeatUploadBxf (Basic XAML Framework)Agile Personal Development Methodology.NET Transactional File ManagerSOLID by exampleASP.NET MVC Time PlannerWEI ShareSiverlight ProjectMost Active ProjectsjQuery Library for SharePoint Web Servicespatterns & practices – Enterprise LibraryNB_Store - Free DotNetNuke Ecommerce Catalog ModuleRhyduino - Arduino and Managed CodeCommunity Forums NNTP bridgeCassandraemonBlogEngine.NETLightweight Fluent WorkflowMediaCoder.NETAndrew's XNA Helpers

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• Base de Datos Oracle, su mejor opción para reducir costos de IT

  - by Ivan Hassig

  Por Victoria Cadavid Sr. Sales Cosultant Oracle Direct Uno de los principales desafíos en la administración de centros de datos es la reducción de costos de operación. A medida que las compañías crecen y los proveedores de tecnología ofrecen soluciones cada vez más robustas, conservar el equilibrio entre desempeño, soporte al negocio y gestión del Costo Total de Propiedad es un desafío cada vez mayor para los Gerentes de Tecnología y para los Administradores de Centros de Datos. Las estrategias más comunes para conseguir reducción en los costos de administración de Centros de Datos y en la gestión de Tecnología de una organización en general, se enfocan en la mejora del desempeño de las aplicaciones, reducción del costo de administración y adquisición de hardware, reducción de los costos de almacenamiento, aumento de la productividad en la administración de las Bases de Datos y mejora en la atención de requerimientos y prestación de servicios de mesa de ayuda, sin embargo, las estrategias de reducción de costos deben contemplar también la reducción de costos asociados a pérdida y robo de información, cumplimiento regulatorio, generación de valor y continuidad del negocio, que comúnmente se conciben como iniciativas aisladas que no siempre se adelantan con el ánimo de apoyar la reducción de costos. Una iniciativa integral de reducción de costos de TI, debe contemplar cada uno de los factores que  generan costo y pueden ser optimizados. En este artículo queremos abordar la reducción de costos de tecnología a partir de la adopción del que según los expertos es el motor de Base de Datos # del mercado.Durante años, la base de datos Oracle ha sido reconocida por su velocidad, confiabilidad, seguridad y capacidad para soportar cargas de datos tanto de aplicaciones altamente transaccionales, como de Bodegas de datos e incluso análisis de Big Data , ofreciendo alto desempeño y facilidades de administración, sin embrago, cuando pensamos en proyectos de reducción de costos de IT, además de la capacidad para soportar aplicaciones (incluso aplicaciones altamente transaccionales) con alto desempeño, pensamos en procesos de automatización, optimización de recursos, consolidación, virtualización e incluso alternativas más cómodas de licenciamiento. La Base de Datos Oracle está diseñada para proveer todas las capacidades que un área de tecnología necesita para reducir costos, adaptándose a los diferentes escenarios de negocio y a las capacidades y características de cada organización.Es así, como además del motor de Base de Datos, Oracle ofrece una serie de soluciones para optimizar la administración de la información a través de mecanismos de optimización del uso del storage, continuidad del Negocio, consolidación de infraestructura, seguridad y administración automática, que propenden por un mejor uso de los recursos de tecnología, ofrecen opciones avanzadas de configuración y direccionan la reducción de los tiempos de las tareas operativas más comunes. Una de las opciones de la base de datos que se pueden provechar para reducir costos de hardware es Oracle Real Application Clusters. Esta solución de clustering permite que varios servidores (incluso servidores de bajo costo) trabajen en conjunto para soportar Grids o Nubes Privadas de Bases de Datos, proporcionando los beneficios de la consolidación de infraestructura, los esquemas de alta disponibilidad, rápido desempeño y escalabilidad por demanda, haciendo que el aprovisionamiento, el mantenimiento de las bases de datos y la adición de nuevos nodos se lleve e cabo de una forma más rápida y con menos riesgo, además de apalancar las inversiones en servidores de menor costo. Otra de las soluciones que promueven la reducción de costos de Tecnología es Oracle In-Memory Database Cache que permite almacenar y procesar datos en la memoria de las aplicaciones, permitiendo el máximo aprovechamiento de los recursos de procesamiento de la capa media, lo que cobra mucho valor en escenarios de alta transaccionalidad. De este modo se saca el mayor provecho de los recursos de procesamiento evitando crecimiento innecesario en recursos de hardware. Otra de las formas de evitar inversiones innecesarias en hardware, aprovechando los recursos existentes, incluso en escenarios de alto crecimiento de los volúmenes de información es la compresión de los datos. Oracle Advanced Compression permite comprimir hasta 4 veces los diferentes tipos de datos, mejorando la capacidad de almacenamiento, sin comprometer el desempeño de las aplicaciones. Desde el lado del almacenamiento también se pueden conseguir reducciones importantes de los costos de IT. En este escenario, la tecnología propia de la base de Datos Oracle ofrece capacidades de Administración Automática del Almacenamiento que no solo permiten una distribución óptima de los datos en los discos físicos para garantizar el máximo desempeño, sino que facilitan el aprovisionamiento y la remoción de discos defectuosos y ofrecen balanceo y mirroring, garantizando el uso máximo de cada uno de los dispositivos y la disponibilidad de los datos. Otra de las soluciones que facilitan la administración del almacenamiento es Oracle Partitioning, una opción de la Base de Datos que permite dividir grandes tablas en estructuras más pequeñas. Esta aproximación facilita la administración del ciclo de vida de la información y permite por ejemplo, separar los datos históricos (que generalmente se convierten en información de solo lectura y no tienen un alto volumen de consulta) y enviarlos a un almacenamiento de bajo costos, conservando la data activa en dispositivos de almacenamiento más ágiles. Adicionalmente, Oracle Partitioning facilita la administración de las bases de datos que tienen un gran volumen de registros y mejora el desempeño de la base de datos gracias a la posibilidad de optimizar las consultas haciendo uso únicamente de las particiones relevantes de una tabla o índice en el proceso de búsqueda. Otros factores adicionales, que pueden generar costos innecesarios a los departamentos de Tecnología son: La pérdida, corrupción o robo de datos y la falta de disponibilidad de las aplicaciones para dar soporte al negocio. Para evitar este tipo de situaciones que pueden acarrear multas y pérdida de negocios y de dinero, Oracle ofrece soluciones que permiten proteger y auditar la base de datos, recuperar la información en caso de corrupción o ejecución de acciones que comprometan la integridad de la información y soluciones que permitan garantizar que la información de las aplicaciones tenga una disponibilidad de 7x24. Ya hablamos de los beneficios de Oracle RAC, para facilitar los procesos de Consolidación y mejorar el desempeño de las aplicaciones, sin embrago esta solución, es sumamente útil en escenarios dónde las organizaciones de quieren garantizar una alta disponibilidad de la información, ante fallo de los servidores o en eventos de desconexión planeada para realizar labores de mantenimiento. Además de Oracle RAC, existen soluciones como Oracle Data Guard y Active Data Guard que permiten replicar de forma automática las bases de datos hacia un centro de datos de contingencia, permitiendo una recuperación inmediata ante eventos que deshabiliten por completo un centro de datos. Además de lo anterior, Active Data Guard, permite aprovechar la base de datos de contingencia para realizar labores de consulta, mejorando el desempeño de las aplicaciones. Desde el punto de vista de mejora en la seguridad, Oracle cuenta con soluciones como Advanced security que permite encriptar los datos y los canales a través de los cueles se comparte la información, Total Recall, que permite visualizar los cambios realizados a la base de datos en un momento determinado del tiempo, para evitar pérdida y corrupción de datos, Database Vault que permite restringir el acceso de los usuarios privilegiados a información confidencial, Audit Vault, que permite verificar quién hizo qué y cuándo dentro de las bases de datos de una organización y Oracle Data Masking que permite enmascarar los datos para garantizar la protección de la información sensible y el cumplimiento de las políticas y normas relacionadas con protección de información confidencial, por ejemplo, mientras las aplicaciones pasan del ambiente de desarrollo al ambiente de producción. Como mencionamos en un comienzo, las iniciativas de reducción de costos de tecnología deben apalancarse en estrategias que contemplen los diferentes factores que puedan generar sobre costos, los factores de riesgo que puedan acarrear costos no previsto, el aprovechamiento de los recursos actuales, para evitar inversiones innecesarias y los factores de optimización que permitan el máximo aprovechamiento de las inversiones actuales. Como vimos, todas estas iniciativas pueden ser abordadas haciendo uso de la tecnología de Oracle a nivel de Base de Datos, lo más importante es detectar los puntos críticos a nivel de riesgo, diagnosticar las proporción en que están siendo aprovechados los recursos actuales y definir las prioridades de la organización y del área de IT, para así dar inicio a todas aquellas iniciativas que de forma gradual, van a evitar sobrecostos e inversiones innecesarias, proporcionando un mayor apoyo al negocio y un impacto significativo en la productividad de la organización. Más información http://www.oracle.com/lad/products/database/index.html?ssSourceSiteId=otnes 1Fuente: Market Share: All Software Markets, Worldwide 2011 by Colleen Graham, Joanne Correia, David Coyle, Fabrizio Biscotti, Matthew Cheung, Ruggero Contu, Yanna Dharmasthira, Tom Eid, Chad Eschinger, Bianca Granetto, Hai Hong Swinehart, Sharon Mertz, Chris Pang, Asheesh Raina, Dan Sommer, Bhavish Sood, Marianne D'Aquila, Laurie Wurster and Jie Zhang. - March 29, 2012 2Big Data: Información recopilada desde fuentes no tradicionales como blogs, redes sociales, email, sensores, fotografías, grabaciones en video, etc. que normalmente se encuentran de forma no estructurada y en un gran volumen

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• CodePlex Daily Summary for Sunday, May 23, 2010

  CodePlex Daily Summary for Sunday, May 23, 2010New ProjectsA2Command: Apple 2 port of CBM-Command (http://cbmcommand.codeplex.com)AgUnit: AgUnit is a plugin for Jetbrains ReSharper (R#) that allows you to run and debug Silverlight unit tests from within Visual Studio.BSonPosh Powershell Module: A collection of useful Powershell functions I have written and collected over the years. It is a Powershell v2 Module composed of mostly scripts.DB Restriker: Simple tool for lookup, parsing, searching some standard databases using wildcards and pattern recognition.Entity Framework Repository & Unit of Work Template: T4 Template for Entity Framework 4 for creating a data access layer using the repository and unit of work patterns. Designed to work well with dep...Fiction Catalog: A catalog project designed to store information about fictional literature.Giving a Presentation: Useful for people doing presentations, this application hides desktop icons, disables screensaver, closes chosen programs when presentation starts,...glueless: Glueless is a local message bus which allows architect to design highly decoupled systems and applications. Glueless is a step beyond dependency i...HtmlCodeIt: Take any code and format it so that it can be viewed properly on a web browser, blog post or website.just testproject :): just have a test!KanbanTaskboard: The aim of the project is to design and implement a functional prototype for visualizing and operating a multi-platform virtual "Kanban Taskboard”Life System: Life SystemOaSys Project: Project Oasys is a project that aims to help solve desertification. Scoring of pingPong Game: Scoring of pingPong GameSilverlight Web Comic: The Silverlight Web Comic makes easier for the people create your own comic with your own pictures o drawings, and add the globes of text like the ...TickSharp: C# Wrapper for http://TickSpot.com RESTful API.Traductor: El Traductor es una aplicación de escritorio para traducción de frases entre distintos idiomas basada en la plataforma Silverlight Out Of Browser y...WatchersNET.SkinObjects.ModulActionsMenu: Displays the Module Actions Menu as a Unsorted CSS Menu.xxfd1r4w96: testingNew ReleasesAgUnit: AgUnit 0.1: Initial release of AgUnit. Copy the extracted files from AgUnit-0.1.zip into the "Bin\Plugins\" folder of your ReSharper installation (default C:...ASP.NET MVC | SCAFFOLD: ASP.NET MVC SCAFFOLD - Beta 1.0: Release versão betaBizTalk Server 2006 Documenter: Documenter_v3.4.0.0: This is the new release of the documenter which has the following highlights Support for 64 bit systems Support for SxS scenarios (so now the sys...CassiniDev - Cassini 3.5/4.0 Developers Edition: CassiniDev 3.5.1 Beta 2- VS 2008 Replacement: The CassiniDev Visual Studio build is a fully compatibly Visual Studio 2008/2010 Development server drop-in replacement with all CassiniDev enhance...CBM-Command: 2010-05-22 Beta: Release Notes - 2010-05-22 BetaNew Features Simple text file viewer. Now when you use SHIFT-RETURN to open a file, it will ask if you want to view...Easy Validation: Documentation: Documentation for easyVal was created and presented at University of Texas at Austin in May of 2010.Entity Framework Repository & Unit of Work Template: 1.0: Initial ReleaseFrotz.NET: FrotzNet 1.0 beta: Many, many changes, including: - Got Adaptive Palette working for graphics - Got undo working - Implemented all zcodes - Added scripting as well as...Giving a Presentation: CTP: This release includes basic extensibility infrastructure and three extensions: hides desktop icons, disables screensaver, closes chosen programs wh...Gov 2.0 Kit: SharePoint 2010 MyPeeps Mysite Accelerators: SharePoint 2010 MyPeeps Mysite Accelerators. Attached are the installation and documentations files.HKGolden Express: HKGoldenExpress (Build 201005221900): New features: (None) Bug fix: Hong Kong special characters now can be posted without encoding problem. Improvements: (None) Other changes: (None) K...Intellibox - A WPF auto complete textbox search control: Beta 2: Updated the namespace of the Intellibox control from "System.Windows.Controls" to "FeserWard.Controls". Empty binding Path properties now work on...MDownloader: MDownloader-0.15.14.59111: Fixed DepositFile provider. Fixed FileFactory provider. Added simple fakeness detector (can check if .rar, .zip, .7z files have valid signature...Mute4: V1: Initial version of Mute4NLog - Advanced .NET Logging: Nightly Build 2010.05.22.003: Changes since the last build:No changes. Unit test results:Passed 191/191 (100%) Passed 191/191 (100%) Passed 214/214 (100%) Passed 216/216 (100%)...NSIS Autorun: NSIS Autorun 0.1.9: This release includes source code, executable binaries and example materials.Silverlight Gantt Chart: Silverlight Gantt Chart 1.3 (SL4): The latest release mainly makes the Gantt Chart useful in Silverlight 4 applications.SqlServerExtensions: V 0.2 beta: V 0.2 Beta release: New features available TrimStart - trim leading characters TrimEnd - trim trailing characters Remove - remove characters f...Traductor: Version 3.1: Nuevo en esta versión: El Traductor ahora permite escoger entre los motores de Microsoft y Google. El Text to Speech is es ahora habilitado por...VCC: Latest build, v2.1.30522.0: Automatic drop of latest buildVDialer Add-In for Outlook 2007 & 2010 - Dial your Vonage phone from Outlook: VDialer Add-In 1.0.3: This release adds new features related to Journal and use of Vonage API Changes in version 1.0.3 Added configurable option to automatically open J...WatchersNET.SkinObjects.ModulActionsMenu: ModulActionsMenu 01.00.00: First Release For Informations How To Install, the Skin Object Read the DocumentationMost Popular ProjectsCodeComment.NETRawrWBFS ManagerAJAX Control ToolkitMicrosoft SQL Server Product Samples: DatabaseSilverlight ToolkitWindows Presentation Foundation (WPF)patterns & practices – Enterprise LibraryPHPExcelMicrosoft SQL Server Community & SamplesMost Active ProjectsRawrpatterns & practices – Enterprise LibraryCaliburn: An Application Framework for WPF and Silverlightpatterns & practices: Windows Azure Security GuidanceCassiniDev - Cassini 3.5/4.0 Developers EditionGMap.NET - Great Maps for Windows Forms & PresentationNB_Store - Free DotNetNuke Ecommerce Catalog ModuleSQL Server PowerShell ExtensionsBlogEngine.NETCodeReview

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• Speeding up a search .net 4.0

  - by user231465

  Wondering if I can speed up the search. I need to build a functionality that has to be used by many UI screens The one I have got works but I need to make sure I am implementing a fast algoritim if you like It's like an incremental search. User types a word to search for eg const string searchFor = "Guinea"; const char nextLetter = ' ' It looks in the list and returns 2 records "Guinea and Guinea Bissau " User types a word to search for eg const string searchFor = "Gu"; const char nextLetter = 'i' returns 3 results. This is the function but I would like to speed it up. Is there a pattern for this kind of search? class Program { static void Main() { //Find all countries that begin with string + a possible letter added to it //const string searchFor = "Guinea"; //const char nextLetter = ' '; //returns 2 results const string searchFor = "Gu"; const char nextLetter = 'i'; List<string> result = FindPossibleMatches(searchFor, nextLetter); result.ForEach(x=>Console.WriteLine(x)); //returns 3 results Console.Read(); } /// <summary> /// Find all possible matches /// </summary> /// <param name="searchFor">string to search for</param> /// <param name="nextLetter">pretend user as just typed a letter</param> /// <returns></returns> public static List<string> FindPossibleMatches (string searchFor, char nextLetter) { var hashedCountryList = new HashSet<string>(CountriesList()); var result=new List<string>(); IEnumerable<string> tempCountryList = hashedCountryList.Where(x => x.StartsWith(searchFor)); foreach (string item in tempCountryList) { string tempSearchItem; if (nextLetter == ' ') { tempSearchItem = searchFor; } else { tempSearchItem = searchFor + nextLetter; } if(item.StartsWith(tempSearchItem)) { result.Add(item); } } return result; } /// <summary> /// Returns list of countries. /// </summary> public static string[] CountriesList() { return new[] { "Afghanistan", "Albania", "Algeria", "American Samoa", "Andorra", "Angola", "Anguilla", "Antarctica", "Antigua And Barbuda", "Argentina", "Armenia", "Aruba", "Australia", "Austria", "Azerbaijan", "Bahamas", "Bahrain", "Bangladesh", "Barbados", "Belarus", "Belgium", "Belize", "Benin", "Bermuda", "Bhutan", "Bolivia", "Bosnia Hercegovina", "Botswana", "Bouvet Island", "Brazil", "Brunei Darussalam", "Bulgaria", "Burkina Faso", "Burundi", "Byelorussian SSR", "Cambodia", "Cameroon", "Canada", "Cape Verde", "Cayman Islands", "Central African Republic", "Chad", "Chile", "China", "Christmas Island", "Cocos (Keeling) Islands", "Colombia", "Comoros", "Congo", "Cook Islands", "Costa Rica", "Cote D'Ivoire", "Croatia", "Cuba", "Cyprus", "Czech Republic", "Czechoslovakia", "Denmark", "Djibouti", "Dominica", "Dominican Republic", "East Timor", "Ecuador", "Egypt", "El Salvador", "England", "Equatorial Guinea", "Eritrea", "Estonia", "Ethiopia", "Falkland Islands", "Faroe Islands", "Fiji", "Finland", "France", "Gabon", "Gambia", "Georgia", "Germany", "Ghana", "Gibraltar", "Great Britain", "Greece", "Greenland", "Grenada", "Guadeloupe", "Guam", "Guatemela", "Guernsey", "Guiana", "Guinea", "Guinea Bissau", "Guyana", "Haiti", "Heard Islands", "Honduras", "Hong Kong", "Hungary", "Iceland", "India", "Indonesia", "Iran", "Iraq", "Ireland", "Isle Of Man", "Israel", "Italy", "Jamaica", "Japan", "Jersey", "Jordan", "Kazakhstan", "Kenya", "Kiribati", "Korea, South", "Korea, North", "Kuwait", "Kyrgyzstan", "Lao People's Dem. Rep.", "Latvia", "Lebanon", "Lesotho", "Liberia", "Libya", "Liechtenstein", "Lithuania", "Luxembourg", "Macau", "Macedonia", "Madagascar", "Malawi", "Malaysia", "Maldives", "Mali", "Malta", "Mariana Islands", "Marshall Islands", "Martinique", "Mauritania", "Mauritius", "Mayotte", "Mexico", "Micronesia", "Moldova", "Monaco", "Mongolia", "Montserrat", "Morocco", "Mozambique", "Myanmar", "Namibia", "Nauru", "Nepal", "Netherlands", "Netherlands Antilles", "Neutral Zone", "New Caledonia", "New Zealand", "Nicaragua", "Niger", "Nigeria", "Niue", "Norfolk Island", "Northern Ireland", "Norway", "Oman", "Pakistan", "Palau", "Panama", "Papua New Guinea", "Paraguay", "Peru", "Philippines", "Pitcairn", "Poland", "Polynesia", "Portugal", "Puerto Rico", "Qatar", "Reunion", "Romania", "Russian Federation", "Rwanda", "Saint Helena", "Saint Kitts", "Saint Lucia", "Saint Pierre", "Saint Vincent", "Samoa", "San Marino", "Sao Tome and Principe", "Saudi Arabia", "Scotland", "Senegal", "Seychelles", "Sierra Leone", "Singapore", "Slovakia", "Slovenia", "Solomon Islands", "Somalia", "South Africa", "South Georgia", "Spain", "Sri Lanka", "Sudan", "Suriname", "Svalbard", "Swaziland", "Sweden", "Switzerland", "Syrian Arab Republic", "Taiwan", "Tajikista", "Tanzania", "Thailand", "Togo", "Tokelau", "Tonga", "Trinidad and Tobago", "Tunisia", "Turkey", "Turkmenistan", "Turks and Caicos Islands", "Tuvalu", "Uganda", "Ukraine", "United Arab Emirates", "United Kingdom", "United States", "Uruguay", "Uzbekistan", "Vanuatu", "Vatican City State", "Venezuela", "Vietnam", "Virgin Islands", "Wales", "Western Sahara", "Yemen", "Yugoslavia", "Zaire", "Zambia", "Zimbabwe" }; } } } Any suggestions? Thanks

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• Fraud Detection with the SQL Server Suite Part 1

  - by Dejan Sarka

  While working on different fraud detection projects, I developed my own approach to the solution for this problem. In my PASS Summit 2013 session I am introducing this approach. I also wrote a whitepaper on the same topic, which was generously reviewed by my friend Matija Lah. In order to spread this knowledge faster, I am starting a series of blog posts which will at the end make the whole whitepaper. Abstract With the massive usage of credit cards and web applications for banking and payment processing, the number of fraudulent transactions is growing rapidly and on a global scale. Several fraud detection algorithms are available within a variety of different products. In this paper, we focus on using the Microsoft SQL Server suite for this purpose. In addition, we will explain our original approach to solving the problem by introducing a continuous learning procedure. Our preferred type of service is mentoring; it allows us to perform the work and consulting together with transferring the knowledge onto the customer, thus making it possible for a customer to continue to learn independently. This paper is based on practical experience with different projects covering online banking and credit card usage. Introduction A fraud is a criminal or deceptive activity with the intention of achieving financial or some other gain. Fraud can appear in multiple business areas. You can find a detailed overview of the business domains where fraud can take place in Sahin Y., & Duman E. (2011), Detecting Credit Card Fraud by Decision Trees and Support Vector Machines, Proceedings of the International MultiConference of Engineers and Computer Scientists 2011 Vol 1. Hong Kong: IMECS. Dealing with frauds includes fraud prevention and fraud detection. Fraud prevention is a proactive mechanism, which tries to disable frauds by using previous knowledge. Fraud detection is a reactive mechanism with the goal of detecting suspicious behavior when a fraudster surpasses the fraud prevention mechanism. A fraud detection mechanism checks every transaction and assigns a weight in terms of probability between 0 and 1 that represents a score for evaluating whether a transaction is fraudulent or not. A fraud detection mechanism cannot detect frauds with a probability of 100%; therefore, manual transaction checking must also be available. With fraud detection, this manual part can focus on the most suspicious transactions. This way, an unchanged number of supervisors can detect significantly more frauds than could be achieved with traditional methods of selecting which transactions to check, for example with random sampling. There are two principal data mining techniques available both in general data mining as well as in specific fraud detection techniques: supervised or directed and unsupervised or undirected. Supervised techniques or data mining models use previous knowledge. Typically, existing transactions are marked with a flag denoting whether a particular transaction is fraudulent or not. Customers at some point in time do report frauds, and the transactional system should be capable of accepting such a flag. Supervised data mining algorithms try to explain the value of this flag by using different input variables. When the patterns and rules that lead to frauds are learned through the model training process, they can be used for prediction of the fraud flag on new incoming transactions. Unsupervised techniques analyze data without prior knowledge, without the fraud flag; they try to find transactions which do not resemble other transactions, i.e. outliers. In both cases, there should be more frauds in the data set selected for checking by using the data mining knowledge compared to selecting the data set with simpler methods; this is known as the lift of a model. Typically, we compare the lift with random sampling. The supervised methods typically give a much better lift than the unsupervised ones. However, we must use the unsupervised ones when we do not have any previous knowledge. Furthermore, unsupervised methods are useful for controlling whether the supervised models are still efficient. Accuracy of the predictions drops over time. Patterns of credit card usage, for example, change over time. In addition, fraudsters continuously learn as well. Therefore, it is important to check the efficiency of the predictive models with the undirected ones. When the difference between the lift of the supervised models and the lift of the unsupervised models drops, it is time to refine the supervised models. However, the unsupervised models can become obsolete as well. It is also important to measure the overall efficiency of both, supervised and unsupervised models, over time. We can compare the number of predicted frauds with the total number of frauds that include predicted and reported occurrences. For measuring behavior across time, specific analytical databases called data warehouses (DW) and on-line analytical processing (OLAP) systems can be employed. By controlling the supervised models with unsupervised ones and by using an OLAP system or DW reports to control both, a continuous learning infrastructure can be established. There are many difficulties in developing a fraud detection system. As has already been mentioned, fraudsters continuously learn, and the patterns change. The exchange of experiences and ideas can be very limited due to privacy concerns. In addition, both data sets and results might be censored, as the companies generally do not want to publically expose actual fraudulent behaviors. Therefore it can be quite difficult if not impossible to cross-evaluate the models using data from different companies and different business areas. This fact stresses the importance of continuous learning even more. Finally, the number of frauds in the total number of transactions is small, typically much less than 1% of transactions is fraudulent. Some predictive data mining algorithms do not give good results when the target state is represented with a very low frequency. Data preparation techniques like oversampling and undersampling can help overcome the shortcomings of many algorithms. SQL Server suite includes all of the software required to create, deploy any maintain a fraud detection infrastructure. The Database Engine is the relational database management system (RDBMS), which supports all activity needed for data preparation and for data warehouses. SQL Server Analysis Services (SSAS) supports OLAP and data mining (in version 2012, you need to install SSAS in multidimensional and data mining mode; this was the only mode in previous versions of SSAS, while SSAS 2012 also supports the tabular mode, which does not include data mining). Additional products from the suite can be useful as well. SQL Server Integration Services (SSIS) is a tool for developing extract transform–load (ETL) applications. SSIS is typically used for loading a DW, and in addition, it can use SSAS data mining models for building intelligent data flows. SQL Server Reporting Services (SSRS) is useful for presenting the results in a variety of reports. Data Quality Services (DQS) mitigate the occasional data cleansing process by maintaining a knowledge base. Master Data Services is an application that helps companies maintaining a central, authoritative source of their master data, i.e. the most important data to any organization. For an overview of the SQL Server business intelligence (BI) part of the suite that includes Database Engine, SSAS and SSRS, please refer to Veerman E., Lachev T., & Sarka D. (2009). MCTS Self-Paced Training Kit (Exam 70-448): Microsoft® SQL Server® 2008 Business Intelligence Development and Maintenance. MS Press. For an overview of the enterprise information management (EIM) part that includes SSIS, DQS and MDS, please refer to Sarka D., Lah M., & Jerkic G. (2012). Training Kit (Exam 70-463): Implementing a Data Warehouse with Microsoft® SQL Server® 2012. O'Reilly. For details about SSAS data mining, please refer to MacLennan J., Tang Z., & Crivat B. (2009). Data Mining with Microsoft SQL Server 2008. Wiley. SQL Server Data Mining Add-ins for Office, a free download for Office versions 2007, 2010 and 2013, bring the power of data mining to Excel, enabling advanced analytics in Excel. Together with PowerPivot for Excel, which is also freely downloadable and can be used in Excel 2010, is already included in Excel 2013. It brings OLAP functionalities directly into Excel, making it possible for an advanced analyst to build a complete learning infrastructure using a familiar tool. This way, many more people, including employees in subsidiaries, can contribute to the learning process by examining local transactions and quickly identifying new patterns.

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• Oracle bleibt auch 2011 Spitzenreiter im Bereich Datenbanken

  - by Anne Manke

  Mit der Veröffentlichung der aktuellen Ausgabe "Market Share: All Software Markets, Worldwide 2011" bestätigt das weltweit führende Marktanalyseunternehmen Gartner Oracle's Marktführerschaft im Bereich der Relationellen Datenbank Management Systeme (RDBMS). Oracle konnte innerhalb des letzten Jahres seinen Abstand zu seinen Marktbegleitern im Bereich der RDBMS mit einem stabilen Wachstum von 18% sogar ausbauen: der Marktanteil stieg im Jahr 2010 von 48,2% auf 48,8% im Jahr 2011. Damit ist der Abstand zu Oracle's stärkstem Verfolger IBM auf 28,6%.   Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; mso-tstyle-rowband-size:0; mso-tstyle-colband-size:0; mso-style-noshow:yes; mso-style-priority:99; mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0cm; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableLightListAccent2 {mso-style-name:"Light List - Accent 2"; mso-tstyle-rowband-size:1; mso-tstyle-colband-size:1; mso-style-priority:61; mso-style-unhide:no; border:solid #C0504D 1.0pt; mso-border-themecolor:accent2; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableLightListAccent2FirstRow {mso-style-name:"Light List - Accent 2"; mso-table-condition:first-row; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-shading:#C0504D; mso-tstyle-shading-themecolor:accent2; mso-para-margin-top:0cm; mso-para-margin-bottom:0cm; mso-para-margin-bottom:.0001pt; line-height:normal; color:white; mso-themecolor:background1; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2LastRow {mso-style-name:"Light List - Accent 2"; mso-table-condition:last-row; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:2.25pt double #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2; mso-para-margin-top:0cm; mso-para-margin-bottom:0cm; mso-para-margin-bottom:.0001pt; line-height:normal; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2FirstCol {mso-style-name:"Light List - Accent 2"; mso-table-condition:first-column; mso-style-priority:61; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2LastCol {mso-style-name:"Light List - Accent 2"; mso-table-condition:last-column; mso-style-priority:61; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2OddColumn {mso-style-name:"Light List - Accent 2"; mso-table-condition:odd-column; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2;} table.MsoTableLightListAccent2OddRow {mso-style-name:"Light List - Accent 2"; mso-table-condition:odd-row; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2;} Revenue 2010 ($USM) Revenue 2011 ($USM) Growth 2010 Growth 2011 Share 2010 Share 2011 Oracle 9,990.5 11,787.0 10.9% 18.0% 48.2% 48.8% IBM 4,300.4 4,870.4 5.4% 13.3% 20.7% 20.2% Microsoft 3,641.2 4,098.9 10.1% 12.6% 17.6% 17.0% SAP/Sybase 744.4 1,101.1 12.8% 47.9% 3.6% 4.6% Teradata 754.7 882.3 16.9% 16.9% 3.6% 3.7% Source: Gartner’s “Market Share: All Software Markets, Worldwide 2011,” March 29, 2012, By Colleen Graham, Joanne Correia, David Coyle, Fabrizio Biscotti, Matthew Cheung, Ruggero Contu, Yanna Dharmasthira, Tom Eid, Chad Eschinger, Bianca Granetto, Hai Hong Swinehart, Sharon Mertz, Chris Pang, Asheesh Raina, Dan Sommer, Bhavish Sood, Marianne D'Aquila, Laurie Wurster and Jie Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 /* Style Definitions */ table.MsoNormalTable {mso-style-name:"Table Normal"; 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mso-style-qformat:yes; mso-style-parent:""; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin-top:0cm; mso-para-margin-right:0cm; mso-para-margin-bottom:12.0pt; mso-para-margin-left:0cm; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; mso-fareast-font-family:"Times New Roman"; mso-fareast-theme-font:minor-fareast; mso-hansi-font-family:Calibri; mso-hansi-theme-font:minor-latin; mso-bidi-font-family:"Times New Roman"; mso-bidi-theme-font:minor-bidi;} table.MsoTableLightListAccent2 {mso-style-name:"Light List - Accent 2"; mso-tstyle-rowband-size:1; mso-tstyle-colband-size:1; mso-style-priority:61; mso-style-unhide:no; border:solid #C0504D 1.0pt; mso-border-themecolor:accent2; mso-padding-alt:0cm 5.4pt 0cm 5.4pt; mso-para-margin:0cm; mso-para-margin-bottom:.0001pt; mso-pagination:widow-orphan; font-size:11.0pt; font-family:"Calibri","sans-serif"; mso-ascii-font-family:Calibri; mso-ascii-theme-font:minor-latin; 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mso-tstyle-border-right-themecolor:accent2; mso-para-margin-top:0cm; mso-para-margin-bottom:0cm; mso-para-margin-bottom:.0001pt; line-height:normal; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2FirstCol {mso-style-name:"Light List - Accent 2"; mso-table-condition:first-column; mso-style-priority:61; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2LastCol {mso-style-name:"Light List - Accent 2"; mso-table-condition:last-column; mso-style-priority:61; mso-style-unhide:no; mso-ansi-font-weight:bold; mso-bidi-font-weight:bold;} table.MsoTableLightListAccent2OddColumn {mso-style-name:"Light List - Accent 2"; mso-table-condition:odd-column; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2;} table.MsoTableLightListAccent2OddRow {mso-style-name:"Light List - Accent 2"; mso-table-condition:odd-row; mso-style-priority:61; mso-style-unhide:no; mso-tstyle-border-top:1.0pt solid #C0504D; mso-tstyle-border-top-themecolor:accent2; mso-tstyle-border-left:1.0pt solid #C0504D; mso-tstyle-border-left-themecolor:accent2; mso-tstyle-border-bottom:1.0pt solid #C0504D; mso-tstyle-border-bottom-themecolor:accent2; mso-tstyle-border-right:1.0pt solid #C0504D; mso-tstyle-border-right-themecolor:accent2;}

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• Google Maps API v3 - Different markers/labels on different zoom levels

  - by krikara

  I was wondering if it is possible that Google has a feature to view different markers on different zoom levels. For example, on zoom level 1, I want one marker over China with the label saying "5". And as the user zooms in, lets say on zoom level 4, I want the previous marker and label to disappear. And I want to have 5 new markers/labels, each on a different city in China all saying "1". Thus China will say a number and all the cities in China will say numbers adding up to China's number. The key concept I am trying to figure out here is how to hide markers and labels based on zoom levels. A constraint for me is that I am living in China currently where google is censored, so a lot of online documents are censored for me, including many of google's documentations. Here is my code thus far <!DOCTYPE html> <html> <head> <meta name="viewport" content="initial-scale=1.0, user-scalable=no" /> <title>TM China</title> <style type="text/css"> html, body, #map_canvas { margin: 0; padding: 0; height: 100% } .labels { color: red; background-color: white; font-family: "Lucida Grande", "Arial", sans-serif; font-size: 10px; font-weight: bold; text-align: center; width: 60px; border: 2px solid black; white-space: nowrap; } </style> <script type="text/javascript" src="http://maps.googleapis.com/maps/api/js?key=AIzaSyDV0lcdK7C2GHbQAmdkBID70Uppuf-D030&sensor=true"> </script> <script type="text/javascript"> eval(function(p,a,c,k,e,r){e=function(c){return(c<a?'':e(parseInt(c/a)))+((c=c%a)>35?String.fromCharCode(c+29):c.toString(36))};if(!''.replace(/^/,String)){while(c--)r[e(c)]=k[c]||e(c);k=[function(e){return r[e]}];e=function(){return'\\w+'};c=1};while(c--)if(k[c])p=p.replace(new RegExp('\\b'+e(c)+'\\b','g'),k[c]);return p}('7 m(a){2.3=a;2.8=V.1E("1u");2.8.4.C="I: 1m; J: 1g;";2.k=V.1E("1u");2.k.4.C=2.8.4.C}m.l=E 6.5.22();m.l.1Y=7(){n c=2;n h=t;n f=t;n j;n b;n d,K;n i;n g=7(e){p(e.1v){e.1v()}e.2b=u;p(e.1t){e.1t()}};2.1s().24.G(2.8);2.1s().20.G(2.k);2.11=[6.5.9.w(V,"1o",7(a){p(f){a.s=j;i=u;6.5.9.r(c.3,"1n",a)}h=t;6.5.9.r(c.3,"1o",a)}),6.5.9.o(c.3.1P(),"1N",7(a){p(h&&c.3.1M()){a.s=E 6.5.1J(a.s.U()-d,a.s.T()-K);j=a.s;p(f){6.5.9.r(c.3,"1i",a)}F{d=a.s.U()-c.3.Z().U();K=a.s.T()-c.3.Z().T();6.5.9.r(c.3,"1e",a)}}}),6.5.9.w(2.k,"1d",7(e){c.k.4.1c="2i";6.5.9.r(c.3,"1d",e)}),6.5.9.w(2.k,"1D",7(e){c.k.4.1c=c.3.2g();6.5.9.r(c.3,"1D",e)}),6.5.9.w(2.k,"1C",7(e){p(i){i=t}F{g(e);6.5.9.r(c.3,"1C",e)}}),6.5.9.w(2.k,"1A",7(e){g(e);6.5.9.r(c.3,"1A",e)}),6.5.9.w(2.k,"1z",7(e){h=u;f=t;d=0;K=0;g(e);6.5.9.r(c.3,"1z",e)}),6.5.9.o(2.3,"1e",7(a){f=u;b=c.3.1b()}),6.5.9.o(2.3,"1i",7(a){c.3.O(a.s);c.3.D(2a)}),6.5.9.o(2.3,"1n",7(a){f=t;c.3.D(b)}),6.5.9.o(2.3,"29",7(){c.O()}),6.5.9.o(2.3,"28",7(){c.D()}),6.5.9.o(2.3,"27",7(){c.N()}),6.5.9.o(2.3,"26",7(){c.N()}),6.5.9.o(2.3,"25",7(){c.16()}),6.5.9.o(2.3,"23",7(){c.15()}),6.5.9.o(2.3,"21",7(){c.13()}),6.5.9.o(2.3,"1Z",7(){c.L()}),6.5.9.o(2.3,"1X",7(){c.L()})]};m.l.1W=7(){n i;2.8.1r.1q(2.8);2.k.1r.1q(2.k);1p(i=0;i<2.11.1V;i++){6.5.9.1U(2.11[i])}};m.l.1T=7(){2.15();2.16();2.L()};m.l.15=7(){n a=2.3.z("Y");p(H a.1S==="P"){2.8.W=a;2.k.W=2.8.W}F{2.8.G(a);a=a.1R(u);2.k.G(a)}};m.l.16=7(){2.k.1Q=2.3.1O()||""};m.l.L=7(){n i,q;2.8.S=2.3.z("R");2.k.S=2.8.S;2.8.4.C="";2.k.4.C="";q=2.3.z("q");1p(i 1L q){p(q.1K(i)){2.8.4[i]=q[i];2.k.4[i]=q[i]}}2.1l()};m.l.1l=7(){2.8.4.I="1m";2.8.4.J="1g";p(H 2.8.4.B!=="P"){2.8.4.1k="1j(B="+(2.8.4.B*1I)+")"}2.k.4.I=2.8.4.I;2.k.4.J=2.8.4.J;2.k.4.B=0.1H;2.k.4.1k="1j(B=1)";2.13();2.O();2.N()};m.l.13=7(){n a=2.3.z("X");2.8.4.1h=-a.x+"v";2.8.4.1f=-a.y+"v";2.k.4.1h=-a.x+"v";2.k.4.1f=-a.y+"v"};m.l.O=7(){n a=2.1G().1F(2.3.Z());2.8.4.12=a.x+"v";2.8.4.M=a.y+"v";2.k.4.12=2.8.4.12;2.k.4.M=2.8.4.M;2.D()};m.l.D=7(){n a=(2.3.z("14")?-1:+1);p(H 2.3.1b()==="P"){2.8.4.A=2h(2.8.4.M,10)+a;2.k.4.A=2.8.4.A}F{2.8.4.A=2.3.1b()+a;2.k.4.A=2.8.4.A}};m.l.N=7(){p(2.3.z("1a")){2.8.4.Q=2.3.2f()?"2e":"1B"}F{2.8.4.Q="1B"}2.k.4.Q=2.8.4.Q};7 19(a){a=a||{};a.Y=a.Y||"";a.X=a.X||E 6.5.2d(0,0);a.R=a.R||"2c";a.q=a.q||{};a.14=a.14||t;p(H a.1a==="P"){a.1a=u}2.1y=E m(2);6.5.18.1x(2,1w)}19.l=E 6.5.18();19.l.17=7(a){6.5.18.l.17.1x(2,1w);2.1y.17(a)};',62,143,'||this|marker_|style|maps|google|function|labelDiv_|event|||||||||||eventDiv_|prototype|MarkerLabel_|var|addListener|if|labelStyle|trigger|latLng|false|true|px|addDomListener|||get|zIndex|opacity|cssText|setZIndex|new|else|appendChild|typeof|position|overflow|cLngOffset|setStyles|top|setVisible|setPosition|undefined|display|labelClass|className|lng|lat|document|innerHTML|labelAnchor|labelContent|getPosition||listeners_|left|setAnchor|labelInBackground|setContent|setTitle|setMap|Marker|MarkerWithLabel|labelVisible|getZIndex|cursor|mouseover|dragstart|marginTop|hidden|marginLeft|drag|alpha|filter|setMandatoryStyles|absolute|dragend|mouseup|for|removeChild|parentNode|getPanes|stopPropagation|div|preventDefault|arguments|apply|label|mousedown|dblclick|none|click|mouseout|createElement|fromLatLngToDivPixel|getProjection|01|100|LatLng|hasOwnProperty|in|getDraggable|mousemove|getTitle|getMap|title|cloneNode|nodeType|draw|removeListener|length|onRemove|labelstyle_changed|onAdd|labelclass_changed|overlayMouseTarget|labelanchor_changed|OverlayView|labelcontent_changed|overlayImage|title_changed|labelvisible_changed|visible_changed|zindex_changed|position_changed|1000000|cancelBubble|markerLabels|Point|block|getVisible|getCursor|parseInt|pointer'.split('|'),0,{})) var map; var mapOptions = { center: new google.maps.LatLng(35, 105), zoom: 3, mapTypeId: google.maps.MapTypeId.ROADMAP }; var locations = [ ['Hong Kong', 22.39, 114.10, 1885], ['Shanghai', 31.232, 121.47, 5885], ['Beijing', 39.88, 116.40, 6426], ['Guangzhou', 23.129, 113.264, 4067], ['Shenzhen', 22.54, 114.05, 3089], ['Hangzhou', 30.27, 120.15, 954] ]; var infowindow = new google.maps.InfoWindow(); var i; /* for (i = 0; i < locations.length; i++) { marker = new google.maps.Marker({ position: new google.maps.LatLng(locations[i][1], locations[i][2]), map: map }); google.maps.event.addListener(marker, 'click', (function(marker, i) { return function() { infowindow.setContent(locations[i][0]); infowindow.open(map, marker); } })(marker, i)); } */ function myMarker(options) { if(!options.labelAnchor) { options.labelAnchor = new google.maps.Point(30, 50); } if(!options.labelClass) { options.labelClass = "labels"; } options.map = map; return new MarkerWithLabel(options); } function initialize() { map = new google.maps.Map(document.getElementById("map_canvas"), mapOptions); for (i = 0; i < locations.length; i++) { var marker = new MarkerWithLabel({ position: new google.maps.LatLng(locations[i][1], locations[i][2]), draggable: false, map: map, labelContent: locations[i][3], labelAnchor: new google.maps.Point(30, 0), labelClass: "labels", // the CSS class for the label labelStyle: {opacity: 0.75} }); } /* var marker2 = new myMarker({ position: new google.maps.LatLng(20,20), draggable: true, labelContent: "second" }); */ } google.maps.event.addDomListener(window, 'load', initialize); </script> </head> <body onload="initialize()"> <div id="map_canvas" style="width:85%; height:85%"></div> <script type="text/javascript"> </script> </body> </html> EDIT I have been trying to experiment with the MarkerManager, but I can't get the markers to create successfully on different zoom levels. First, I changed my default zoom level to 1, and then I changed my code to what is shown below. function initialize() { map = new google.maps.Map(document.getElementById("map_canvas"), mapOptions); /* for (i = 0; i < locations.length; i++) { var marker = new MarkerWithLabel({ position: new google.maps.LatLng(locations[i][1], locations[i][2]), draggable: false, map: map, labelContent: locations[i][3], labelAnchor: new google.maps.Point(30, 0), labelClass: "labels", // the CSS class for the label labelStyle: {opacity: 0.75} }); } */ var listener = google.maps.event.addListener(map, 'bounds_changed', function(){ setupMarkers(); google.maps.event.removeListener(listener); }); } function createCityMarkers() { for (i = 0; i < locations.length; i++) { var marker = new MarkerWithLabel({ position: new google.maps.LatLng(locations[i][1], locations[i][2]), draggable: false, map: map, labelContent: locations[i][3], labelAnchor: new google.maps.Point(30, 0), labelClass: "labels", // the CSS class for the label labelStyle: {opacity: 0.75} }); } } function setupMarkers() { mgr = new MarkerManager(map); google.maps.event.addListener(mgr, 'loaded', function(){ mgr.addMarkers(createCityMarkers(), 4); mgr.refresh(); }); } I have also tried applying the source code of this link as well, but nothing is working out. And when I copy the source code directly to my computer and replace all the icons with markers, the markers still don't appear. I can't seem to figure how to make markers appear using the marker Manager. http://google-maps-utility-library-v3.googlecode.com/svn/tags/markermanager/1.0/examples/weather_map.html

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• Generating a drop down list of timezones with PHP

  - by Xeoncross

  Most sites need some way to show the dates on the site in the users preferred timezone. Below are two lists that I found and then one method using the built in PHP DateTime class in PHP 5. I need help knowing which of these would be the best to attempt to use when trying to get the UTC offset from the user on register. One: <option value="-12">[UTC - 12] Baker Island Time</option> <option value="-11">[UTC - 11] Niue Time, Samoa Standard Time</option> <option value="-10">[UTC - 10] Hawaii-Aleutian Standard Time, Cook Island Time</option> <option value="-9.5">[UTC - 9:30] Marquesas Islands Time</option> <option value="-9">[UTC - 9] Alaska Standard Time, Gambier Island Time</option> <option value="-8">[UTC - 8] Pacific Standard Time</option> <option value="-7">[UTC - 7] Mountain Standard Time</option> <option value="-6">[UTC - 6] Central Standard Time</option> <option value="-5">[UTC - 5] Eastern Standard Time</option> <option value="-4.5">[UTC - 4:30] Venezuelan Standard Time</option> <option value="-4">[UTC - 4] Atlantic Standard Time</option> <option value="-3.5">[UTC - 3:30] Newfoundland Standard Time</option> <option value="-3">[UTC - 3] Amazon Standard Time, Central Greenland Time</option> <option value="-2">[UTC - 2] Fernando de Noronha Time, South Georgia &amp; the South Sandwich Islands Time</option> <option value="-1">[UTC - 1] Azores Standard Time, Cape Verde Time, Eastern Greenland Time</option> <option value="0" selected="selected">[UTC] Western European Time, Greenwich Mean Time</option> <option value="1">[UTC + 1] Central European Time, West African Time</option> <option value="2">[UTC + 2] Eastern European Time, Central African Time</option> <option value="3">[UTC + 3] Moscow Standard Time, Eastern African Time</option> <option value="3.5">[UTC + 3:30] Iran Standard Time</option> <option value="4">[UTC + 4] Gulf Standard Time, Samara Standard Time</option> <option value="4.5">[UTC + 4:30] Afghanistan Time</option> <option value="5">[UTC + 5] Pakistan Standard Time, Yekaterinburg Standard Time</option> <option value="5.5">[UTC + 5:30] Indian Standard Time, Sri Lanka Time</option> <option value="5.75">[UTC + 5:45] Nepal Time</option> <option value="6">[UTC + 6] Bangladesh Time, Bhutan Time, Novosibirsk Standard Time</option> <option value="6.5">[UTC + 6:30] Cocos Islands Time, Myanmar Time</option> <option value="7">[UTC + 7] Indochina Time, Krasnoyarsk Standard Time</option> <option value="8">[UTC + 8] Chinese Standard Time, Australian Western Standard Time, Irkutsk Standard Time</option> <option value="8.75">[UTC + 8:45] Southeastern Western Australia Standard Time</option> <option value="9">[UTC + 9] Japan Standard Time, Korea Standard Time, Chita Standard Time</option> <option value="9.5">[UTC + 9:30] Australian Central Standard Time</option> <option value="10">[UTC + 10] Australian Eastern Standard Time, Vladivostok Standard Time</option> <option value="10.5">[UTC + 10:30] Lord Howe Standard Time</option> <option value="11">[UTC + 11] Solomon Island Time, Magadan Standard Time</option> <option value="11.5">[UTC + 11:30] Norfolk Island Time</option> <option value="12">[UTC + 12] New Zealand Time, Fiji Time, Kamchatka Standard Time</option> <option value="12.75">[UTC + 12:45] Chatham Islands Time</option> <option value="13">[UTC + 13] Tonga Time, Phoenix Islands Time</option> <option value="14">[UTC + 14] Line Island Time</option> Or using PHP friendly values: <option value="Pacific/Midway">(GMT-11:00) Midway Island, Samoa</option> <option value="America/Adak">(GMT-10:00) Hawaii-Aleutian</option> <option value="Etc/GMT+10">(GMT-10:00) Hawaii</option> <option value="Pacific/Marquesas">(GMT-09:30) Marquesas Islands</option> <option value="Pacific/Gambier">(GMT-09:00) Gambier Islands</option> <option value="America/Anchorage">(GMT-09:00) Alaska</option> <option value="America/Ensenada">(GMT-08:00) Tijuana, Baja California</option> <option value="Etc/GMT+8">(GMT-08:00) Pitcairn Islands</option> <option value="America/Los_Angeles">(GMT-08:00) Pacific Time (US & Canada)</option> <option value="America/Denver">(GMT-07:00) Mountain Time (US & Canada)</option> <option value="America/Chihuahua">(GMT-07:00) Chihuahua, La Paz, Mazatlan</option> <option value="America/Dawson_Creek">(GMT-07:00) Arizona</option> <option value="America/Belize">(GMT-06:00) Saskatchewan, Central America</option> <option value="America/Cancun">(GMT-06:00) Guadalajara, Mexico City, Monterrey</option> <option value="Chile/EasterIsland">(GMT-06:00) Easter Island</option> <option value="America/Chicago">(GMT-06:00) Central Time (US & Canada)</option> <option value="America/New_York">(GMT-05:00) Eastern Time (US & Canada)</option> <option value="America/Havana">(GMT-05:00) Cuba</option> <option value="America/Bogota">(GMT-05:00) Bogota, Lima, Quito, Rio Branco</option> <option value="America/Caracas">(GMT-04:30) Caracas</option> <option value="America/Santiago">(GMT-04:00) Santiago</option> <option value="America/La_Paz">(GMT-04:00) La Paz</option> <option value="Atlantic/Stanley">(GMT-04:00) Faukland Islands</option> <option value="America/Campo_Grande">(GMT-04:00) Brazil</option> <option value="America/Goose_Bay">(GMT-04:00) Atlantic Time (Goose Bay)</option> <option value="America/Glace_Bay">(GMT-04:00) Atlantic Time (Canada)</option> <option value="America/St_Johns">(GMT-03:30) Newfoundland</option> <option value="America/Araguaina">(GMT-03:00) UTC-3</option> <option value="America/Montevideo">(GMT-03:00) Montevideo</option> <option value="America/Miquelon">(GMT-03:00) Miquelon, St. Pierre</option> <option value="America/Godthab">(GMT-03:00) Greenland</option> <option value="America/Argentina/Buenos_Aires">(GMT-03:00) Buenos Aires</option> <option value="America/Sao_Paulo">(GMT-03:00) Brasilia</option> <option value="America/Noronha">(GMT-02:00) Mid-Atlantic</option> <option value="Atlantic/Cape_Verde">(GMT-01:00) Cape Verde Is.</option> <option value="Atlantic/Azores">(GMT-01:00) Azores</option> <option value="Europe/Belfast">(GMT) Greenwich Mean Time : Belfast</option> <option value="Europe/Dublin">(GMT) Greenwich Mean Time : Dublin</option> <option value="Europe/Lisbon">(GMT) Greenwich Mean Time : Lisbon</option> <option value="Europe/London">(GMT) Greenwich Mean Time : London</option> <option value="Africa/Abidjan">(GMT) Monrovia, Reykjavik</option> <option value="Europe/Amsterdam">(GMT+01:00) Amsterdam, Berlin, Bern, Rome, Stockholm, Vienna</option> <option value="Europe/Belgrade">(GMT+01:00) Belgrade, Bratislava, Budapest, Ljubljana, Prague</option> <option value="Europe/Brussels">(GMT+01:00) Brussels, Copenhagen, Madrid, Paris</option> <option value="Africa/Algiers">(GMT+01:00) West Central Africa</option> <option value="Africa/Windhoek">(GMT+01:00) Windhoek</option> <option value="Asia/Beirut">(GMT+02:00) Beirut</option> <option value="Africa/Cairo">(GMT+02:00) Cairo</option> <option value="Asia/Gaza">(GMT+02:00) Gaza</option> <option value="Africa/Blantyre">(GMT+02:00) Harare, Pretoria</option> <option value="Asia/Jerusalem">(GMT+02:00) Jerusalem</option> <option value="Europe/Minsk">(GMT+02:00) Minsk</option> <option value="Asia/Damascus">(GMT+02:00) Syria</option> <option value="Europe/Moscow">(GMT+03:00) Moscow, St. Petersburg, Volgograd</option> <option value="Africa/Addis_Ababa">(GMT+03:00) Nairobi</option> <option value="Asia/Tehran">(GMT+03:30) Tehran</option> <option value="Asia/Dubai">(GMT+04:00) Abu Dhabi, Muscat</option> <option value="Asia/Yerevan">(GMT+04:00) Yerevan</option> <option value="Asia/Kabul">(GMT+04:30) Kabul</option> <option value="Asia/Yekaterinburg">(GMT+05:00) Ekaterinburg</option> <option value="Asia/Tashkent">(GMT+05:00) Tashkent</option> <option value="Asia/Kolkata">(GMT+05:30) Chennai, Kolkata, Mumbai, New Delhi</option> <option value="Asia/Katmandu">(GMT+05:45) Kathmandu</option> <option value="Asia/Dhaka">(GMT+06:00) Astana, Dhaka</option> <option value="Asia/Novosibirsk">(GMT+06:00) Novosibirsk</option> <option value="Asia/Rangoon">(GMT+06:30) Yangon (Rangoon)</option> <option value="Asia/Bangkok">(GMT+07:00) Bangkok, Hanoi, Jakarta</option> <option value="Asia/Krasnoyarsk">(GMT+07:00) Krasnoyarsk</option> <option value="Asia/Hong_Kong">(GMT+08:00) Beijing, Chongqing, Hong Kong, Urumqi</option> <option value="Asia/Irkutsk">(GMT+08:00) Irkutsk, Ulaan Bataar</option> <option value="Australia/Perth">(GMT+08:00) Perth</option> <option value="Australia/Eucla">(GMT+08:45) Eucla</option> <option value="Asia/Tokyo">(GMT+09:00) Osaka, Sapporo, Tokyo</option> <option value="Asia/Seoul">(GMT+09:00) Seoul</option> <option value="Asia/Yakutsk">(GMT+09:00) Yakutsk</option> <option value="Australia/Adelaide">(GMT+09:30) Adelaide</option> <option value="Australia/Darwin">(GMT+09:30) Darwin</option> <option value="Australia/Brisbane">(GMT+10:00) Brisbane</option> <option value="Australia/Hobart">(GMT+10:00) Hobart</option> <option value="Asia/Vladivostok">(GMT+10:00) Vladivostok</option> <option value="Australia/Lord_Howe">(GMT+10:30) Lord Howe Island</option> <option value="Etc/GMT-11">(GMT+11:00) Solomon Is., New Caledonia</option> <option value="Asia/Magadan">(GMT+11:00) Magadan</option> <option value="Pacific/Norfolk">(GMT+11:30) Norfolk Island</option> <option value="Asia/Anadyr">(GMT+12:00) Anadyr, Kamchatka</option> <option value="Pacific/Auckland">(GMT+12:00) Auckland, Wellington</option> <option value="Etc/GMT-12">(GMT+12:00) Fiji, Kamchatka, Marshall Is.</option> <option value="Pacific/Chatham">(GMT+12:45) Chatham Islands</option> <option value="Pacific/Tongatapu">(GMT+13:00) Nuku'alofa</option> <option value="Pacific/Kiritimati">(GMT+14:00) Kiritimati</option> Or just using PHP it's self $timezones = DateTimeZone::listAbbreviations(); $cities = array(); foreach( $timezones as $key => $zones ) { foreach( $zones as $id => $zone ) { /** * Only get timezones explicitely not part of "Others". * @see http://www.php.net/manual/en/timezones.others.php */ if ( preg_match( '/^(America|Antartica|Arctic|Asia|Atlantic|Europe|Indian|Pacific)\//', $zone['timezone_id'] ) && $zone['timezone_id']) { $cities[$zone['timezone_id']][] = $key; } } } // For each city, have a comma separated list of all possible timezones for that city. foreach( $cities as $key => $value ) $cities[$key] = join( ', ', $value); // Only keep one city (the first and also most important) for each set of possibilities. $cities = array_unique( $cities ); // Sort by area/city name. ksort( $cities ); It seems like the last one would be the safest as it would grow with the PHP release being used. You could also flip that array around when needed to tie timezones to city names.

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