Search Results

Search found 324 results on 13 pages for 'mining'.

Page 6/13 | < Previous Page | 2 3 4 5 6 7 8 9 10 11 12 13  | Next Page >

• Architecture for database analytics

  - by David Cournapeau

  Hi, We have an architecture where we provide each customer Business Intelligence-like services for their website (internet merchant). Now, I need to analyze those data internally (for algorithmic improvement, performance tracking, etc...) and those are potentially quite heavy: we have up to millions of rows / customer / day, and I may want to know how many queries we had in the last month, weekly compared, etc... that is the order of billions entries if not more. The way it is currently done is quite standard: daily scripts which scan the databases, and generate big CSV files. I don't like this solutions for several reasons: as typical with those kinds of scripts, they fall into the write-once and never-touched-again category tracking things in "real-time" is necessary (we have separate toolset to query the last few hours ATM). this is slow and non-"agile" Although I have some experience in dealing with huge datasets for scientific usage, I am a complete beginner as far as traditional RDBM go. It seems that using column-oriented database for analytics could be a solution (the analytics don't need most of the data we have in the app database), but I would like to know what other options are available for this kind of issues.

  Read the article

• data structure for counting frequencies in a database table-like format

  - by user373312

  i was wondering if there is a data structure optimized to count frequencies against data that is stored in a database table-like format. for example, the data comes in a (comma) delimited format below. col1, col2, col3 x, a, green x, b, blue ... y, c, green now i simply want to count the frequency of col1=x or col1=x and col2=green. i have been storing the data in a database table, but in my profiling and from empirical observation, database connection is the bottle-neck. i have tried using in-memory database solutions too, and that works quite well; the only problem is memory requirements and quirky init/destroy calls. also, i work mainly with java, but have experience with .net, and was wondering if there was any api to work with "tabular" data in a linq way using java. any help is appreciated.

  Read the article

• Analyze big human database

  - by Neir0

  Lets we have a big people database. Each human has a many parameters: age, weight, favorite music, favorite films, education etc. I want to know how one feature associate with other features. For example, if human has a good education what it means for musical preferences? Or how films preferences changes with age? I know about assotian rules algorithms like apriory but i donnt want just to found assotiation rules, i want to know how one specific feature affect to others. Which keywords i must to use for google?

  Read the article

• Apriori Algorithm- what to do with small min.support?

  - by user3707650

  I have a question about the table beneath my question: If i was told that the given min.support=10%, how can i know what is the support count, by which i will use during the exercise? What i know is: that you take the number of transactions (8) and multiple it by the min.support: 8*(10/100)=0.8 the problem is that i get this number: 0.8, how can i use this support count during this example?? 0.8 is a number that will make me prune all combination set that i will build... please help me!!! TID A B C D E F G 10 1 0 1 0 0 0 1 20 1 1 1 1 0 1 1 30 0 0 0 0 0 0 1 40 0 0 1 0 0 1 1 50 0 0 0 1 1 0 0 60 0 1 1 0 1 1 0 70 0 0 0 0 1 1 0 80 0 0 1 0 1 1 1

  Read the article

• What machine learning algorithms can be used in this scenario?

  - by ExceptionHandler

  My data consists of objects as follows. Obj1 - Color - shape - size - price - ranking So I want to be able to predict what combination of color/shape/size/price is a good combination to get high ranking. Or even a combination could work like for eg: in order to get good ranking, the alg predicts best performance for this color and this shape. Something like that. What are the advisable algorithms for such a prediction? Also may be if you can briefly explain how I can approach towards the model building I would really appreciate it. Say for eg: my data looks like Blue pentagon small $50.00 #5 Red Squre large $30.00 #3 So what is a useful prediction model that I should look at? What algorithm should I try to predict like say highest weightage is for price followed by color and then size. What if I wanted to predict in combinations like a Red small shape is less likely to higher rank compared to pink small shape . (In essence trying to combine more than one nominal values column to make the prediction)

  Read the article

• Big Data – Data Mining with Hive – What is Hive? – What is HiveQL (HQL)? – Day 15 of 21

  - by Pinal Dave

  In yesterday’s blog post we learned the importance of the operational database in Big Data Story. In this article we will understand what is Hive and HQL in Big Data Story. Yahoo started working on PIG (we will understand that in the next blog post) for their application deployment on Hadoop. The goal of Yahoo to manage their unstructured data. Similarly Facebook started deploying their warehouse solutions on Hadoop which has resulted in HIVE. The reason for going with HIVE is because the traditional warehousing solutions are getting very expensive. What is HIVE? Hive is a datawarehouseing infrastructure for Hadoop. The primary responsibility is to provide data summarization, query and analysis. It  supports analysis of large datasets stored in Hadoop’s HDFS as well as on the Amazon S3 filesystem. The best part of HIVE is that it supports SQL-Like access to structured data which is known as HiveQL (or HQL) as well as big data analysis with the help of MapReduce. Hive is not built to get a quick response to queries but it it is built for data mining applications. Data mining applications can take from several minutes to several hours to analysis the data and HIVE is primarily used there. HIVE Organization The data are organized in three different formats in HIVE. Tables: They are very similar to RDBMS tables and contains rows and tables. Hive is just layered over the Hadoop File System (HDFS), hence tables are directly mapped to directories of the filesystems. It also supports tables stored in other native file systems. Partitions: Hive tables can have more than one partition. They are mapped to subdirectories and file systems as well. Buckets: In Hive data may be divided into buckets. Buckets are stored as files in partition in the underlying file system. Hive also has metastore which stores all the metadata. It is a relational database containing various information related to Hive Schema (column types, owners, key-value data, statistics etc.). We can use MySQL database over here. What is HiveSQL (HQL)? Hive query language provides the basic SQL like operations. Here are few of the tasks which HQL can do easily. Create and manage tables and partitions Support various Relational, Arithmetic and Logical Operators Evaluate functions Download the contents of a table to a local directory or result of queries to HDFS directory Here is the example of the HQL Query: SELECT upper(name), salesprice FROM sales; SELECT category, count(1) FROM products GROUP BY category; When you look at the above query, you can see they are very similar to SQL like queries. Tomorrow In tomorrow’s blog post we will discuss about very important components of the Big Data Ecosystem – Pig. Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: Big Data, PostADay, SQL, SQL Authority, SQL Query, SQL Server, SQL Tips and Tricks, T SQL

  Read the article

• SQL Server Editions and Integration Services

  The SQL Server 2005 and SQL Server 2008 product family has quite a few editions now, so what does this mean for SQL Server Integration Services? Starting from the bottom we have the free edition known as Express, and the entry level Workgroup edition, as well as the new Web edition. None of these three include the full SSIS product, but they do all include the SQL Server Import and Export Wizard, with access to basic data sources but nothing more, so for simple loading and extraction of data this should suffice. You will not be able to build packages though, this is just a one shot deal aimed at using the wizard on an ad-hoc basis. To get the full power of Integration Services you need to start with Standard edition. This includes the BI Development Studio, for building your own packages, and fully functional IDE integrated into Visual Studio. (You get the full VS 2005/2008 IDE with the product). All core functions will be available but with a restricted set of transformations and tasks. The SQL Server 2005 Features Comparison or Features Supported by the Editions of SQL Server 2008 describes standard edition as having basic transforms, compared to Enterprise which includes the advanced transforms. I think basic is a little harsh considering the power you get with Standard, but the advanced covers the truly ground-breaking capabilities of data mining, text mining and cleansing or fuzzy transforms. The power of performing these operations within your ETL pipeline should not be underestimated, but not all processes will require these capabilities, so it seems like a reasonable delineation. Thankfully there are no feature limitations or artificial governors within Standard compared to Enterprise. The same control flow and data flow engines underpin both editions, with the same configuration and deployment options allowing you to work seamlessly between environments and editions if using the common components. In fact there are no govenors at all in SSIS, so whilst the SQL Database engine is limited to 4 CPUs in Standard edition, SSIS is only limited by the base operating system. The advanced transforms only available with Enterprise edition: Data Mining Training Destination Data Mining Query Component Fuzzy Grouping Fuzzy Lookup Term Extraction Term Lookup Dimension Processing Destination Partition Processing Destination The advanced tasks only available with Enterprise edition: Data Mining Query Task So in summary, if you want SQL Server Integration Services, you need SQL Server Standard edition, and for the more advanced tasks and transforms you need SQL Server Enterprise edition. To recap, the answer to the often asked question is no, SQL Server Integration Services is not available in SQL Server Express or Workgroup editions.

  Read the article

• how to make Sliding window model for data stream mining?

  - by zeedotcom

  we have a situation that a stream (data from sensor or click stream data at server) is coming with sliding window algorithm we have to store the last (say) 500 samples of data in memory. These samples are then used to create histograms, aggregations & capture information about anomalies in the input data stream. please tell me how to make such sliding window.

  Read the article

• Best XML format for log events in terms of tool support for data mining and visualization?

  - by Thorbjørn Ravn Andersen

  We want to be able to create log files from our Java application which is suited for later processing by tools to help investigate bugs and gather performance statistics. Currently we use the traditional "log stuff which may or may not be flattened into text form and appended to a log file", but this works the best for small amounts of information read by a human. After careful consideration the best bet has been to store the log events as XML snippets in text files (which is then treated like any other log file), and then download them to the machine with the appropriate tool for post processing. I'd like to use as widely supported an XML format as possible, and right now I am in the "research-then-make-decision" phase. I'd appreciate any help both in terms of XML format and tools and I'd be happy to write glue code to get what I need. What I've found so far: log4j XML format: Supported by chainsaw and Vigilog. Lilith XML format: Supported by Lilith Uninvestigated tools: Microsoft Log Parser: Apparently supports XML. OS X log viewer: plus there is a lot of tools on http://www.loganalysis.org/sections/parsing/generic-log-parsers/ Any suggestions?

  Read the article

• How to store and collect data for mining such information as most viewed for last 24 hours, last 7 d

  - by Kirzilla

  Hello, Let's imagine that we have high traffic project (a tube site) which should provide sorting using this options (NOT IN REAL TIME). Number of videos is about 200K and all information about videos is stored in MySQL. Number of daily video views is about 1.5KK. As instruments we have Hard Disk Drive (text files), MySQL, Redis. Views top viewed top viewed last 24 hours top viewed last 7 days top viewed last 30 days top rated last 365 days How should I store such information? The first idea is to log all visits to text files (single file per hour, for example visits_20080101_00.log). At the beginning of each hour calculate views per video for previous hour and insert this information into MySQL. Then recalculate totals (for last 24 hours) and update statistics in tables. At the beginning of every day we have to do the same but recalculate for last 7 days, last 30 days, last 365 days. This method seems to be very poor for me because we have to store information about last 365 days for each video to make correct calculations. Is there any other good methods? Probably, we have to choose another instruments for this? Thank you.

  Read the article

• Revolutionary brand powder packing machine price from affecting marketplace boom and put on uniform in addition to a lengthy service life

  - by user74606

  In mining in stone crushing, our machinery company's encounter becomes much more apparent. As a consequence of production capacity in between 600~800t/h of mining stone crusher, stone is mine Mobile Cone Crushing Plant Price 25~40 times, effectively solved the initially mining stone crusher operation because of low yield prices, no upkeep problems. Full chunk of mining stone crusher. Maximum particle size for crushing 1000x1200mm, an effective answer for the original side is mine stone provide, storing significant chunks of stone can not use complications in mines. Completed goods granularity is modest, only 2~15mm, an effective option for the original mine stone size, generally blocking chute production was an issue even the grinding machine. Two types of material mixed great uniformity, desulfurization of mining stone by adding weight considerably. Present quantity added is often reached 60%, effectively minimizing the cost of raw supplies. Electrical energy consumption has fallen. Dropped 1~2KWh/t tons of mining stone electrical energy consumption, annual electricity savings of one hundred,000 yuan. Efficient labor intensity of workers and also the atmosphere. Due to mine stone powder packing machine price a high degree of automation, with out human make contact with supplies, workers working circumstances enhanced significantly. Positive aspects, and along with mine for stone crushing, CS series cone Crusher has the following efficiency traits. CS series cone Crusher Chamber is divided into 3 unique designs, the user is usually chosen in accordance with the scenario on site crushing efficiency is high, uniform item size, grain shape, rolling mortar wall friction and put on uniform in addition to a extended service life of crushing cavity-. CS series cone Crusher utilizes a one of a kind dust-proof seal, sealing dependable, properly extend the service life of the lubricant replacement cycle and parts. CS series Sprial Sand washer price manufacture of important components to choose unique materials. Each and every stroke left rolling mortar wall of broken cone distances, by permitting a lot more products into the crushing cavity, as well as the formation of big discharge volume, speed of supplies by way of the crushing Chamber. This machine makes use of the principle of crushing cavity, also as unique laminated crushing, particle fragmentation, so that the completed product drastically improved the proportions of a cube, needle-shaped stones to lower particle levels extra evenly.

  Read the article

• Essbase 11.1.2 - JVM_OPTION settings for Essbase

  - by sujata

  When tuning the heap size for Essbase, there are two JVM_OPTIONS settings available for Essbase - one for the Essbase agent and one for the Essbase applications that are using custom-defined functions (CDFs), custom-defined macros (CDMs), data mining, triggers or external authentication. ESS_JVM_OPTION setting is used for the application and mainly for CDFs, CDMs, data mining, triggers, external authentication ESS_CSS_JVM_OPTION setting is used to set the heap size for the Essbase agent

  Read the article

• Defining Discovery: Core Concepts

  - by Joe Lamantia

  Discovery tools have had a referencable working definition since at least 2001, when Ben Shneiderman published 'Inventing Discovery Tools: Combining Information Visualization with Data Mining'.  Dr. Shneiderman suggested the combination of the two distinct fields of data mining and information visualization could manifest as new category of tools for discovery, an understanding that remains essentially unaltered over ten years later.  An industry analyst report titled Visual Discovery Tools: Market Segmentation and Product Positioning from March of this year, for example, reads, "Visual discovery tools are designed for visual data exploration, analysis and lightweight data mining." Tools should follow from the activities people undertake (a foundational tenet of activity centered design), however, and Dr. Shneiderman does not in fact describe or define discovery activity or capability. As I read it, discovery is assumed to be the implied sum of the separate fields of visualization and data mining as they were then understood.  As a working definition that catalyzes a field of product prototyping, it's adequate in the short term.  In the long term, it makes the boundaries of discovery both derived and temporary, and leaves a substantial gap in the landscape of core concepts around discovery, making consensus on the nature of most aspects of discovery difficult or impossible to reach.  I think this definitional gap is a major reason that discovery is still an ambiguous product landscape. To help close that gap, I'm suggesting a few definitions of four core aspects of discovery.  These come out of our sustained research into discovery needs and practices, and have the goal of clarifying the relationship between discvoery and other analytical categories.  They are suggested, but should be internally coherent and consistent.   Discovery activity is: "Purposeful sense making activity that intends to arrive at new insights and understanding through exploration and analysis (and for these we have specific defintions as well) of all types and sources of data." Discovery capability is: "The ability of people and organizations to purposefully realize valuable insights that address the full spectrum of business questions and problems by engaging effectively with all types and sources of data." Discovery tools: "Enhance individual and organizational ability to realize novel insights by augmenting and accelerating human sense making to allow engagement with all types of data at all useful scales." Discovery environments: "Enable organizations to undertake effective discovery efforts for all business purposes and perspectives, in an empirical and cooperative fashion." Note: applicability to a world of Big data is assumed - thus the refs to all scales / types / sources - rather than stated explicitly.  I like that Big Data doesn't have to be written into this core set of definitions, b/c I think it's a transitional label - the new version of Web 2.0 - and goes away over time. References and Resources: Inventing Discovery Tools Visual Discovery Tools: Market Segmentation and Product Positioning Logic versus usage: the case for activity-centered design A Taxonomy of Enterprise Search and Discovery

  Read the article

• Create user in Oracle 11g with same priviledges as in Oracle 10g XE

  - by Álvaro G. Vicario

  I'm a PHP developer (not a DBA) and I've been working with Oracle 10g XE for a while. I'm used to XE's simplified user management: Go to Administration/ Users/ Create user Assign user name and password Roles: leave the default ones (connect and resource) Privileges: click on "Enable all" to select the 11 possible ones Create This way I get a user that has full access to its data and no access to everything else. This is fine since I only need it to develop my app. When the app is to be deployed, the client's DBAs configure the environment. Now I have to create users in a full Oracle 11g server and I'm completely lost. I have a new concept (profiles) and there're like 20 roles and hundreds of privileges in various categories. What steps do I need to complete in Oracle Enterprise Manager in order to obtain a user with the same privileges I used to assign in XE? ==== UPDATE ==== I think I'd better provide a detailed explanation so I make myself clearer. This is how I create a user in 10g XE: Roles: [X] CONNECT [X] RESOURCE [ ] DBA Direct Asignment System Privileges: [ ] CREATE DATABASE LINK [ ] CREATE MATERIALIZED VIEW [ ] CREATE PROCEDURE [ ] CREATE PUBLIC SYNONYM [ ] CREATE ROLE [ ] CREATE SEQUENCE [ ] CREATE SYNONYM [ ] CREATE TABLE [ ] CREATE TRIGGER [ ] CREATE TYPE [ ] CREATE VIEW I click on Enable All and I'm done. This is what I'm asked when doing the same in 11g: Profile: (*) DEFAULT ( ) WKSYS_PROF ( ) MONITORING_PROFILE Roles: CONNECT: [ ] Admin option [X] Default value Edit List: AQ_ADMINISTRATOR_ROLE AQ_USER_ROLE AUTHENTICATEDUSER CSW_USR_ROLE CTXAPP CWM_USER DATAPUMP_EXP_FULL_DATABASE DATAPUMP_IMP_FULL_DATABASE DBA DELETE_CATALOG_ROLE EJBCLIENT EXECUTE_CATALOG_ROLE EXP_FULL_DATABASE GATHER_SYSTEM_STATISTICS GLOBAL_AQ_USER_ROLE HS_ADMIN_ROLE IMP_FULL_DATABASE JAVADEBUGPRIV JAVAIDPRIV JAVASYSPRIV JAVAUSERPRIV JAVA_ADMIN JAVA_DEPLOY JMXSERVER LOGSTDBY_ADMINISTRATOR MGMT_USER OEM_ADVISOR OEM_MONITOR OLAPI_TRACE_USER OLAP_DBA OLAP_USER OLAP_XS_ADMIN ORDADMIN OWB$CLIENT OWB_DESIGNCENTER_VIEW OWB_USER RECOVERY_CATALOG_OWNER RESOURCE SCHEDULER_ADMIN SELECT_CATALOG_ROLE SPATIAL_CSW_ADMIN SPATIAL_WFS_ADMIN WFS_USR_ROLE WKUSER WM_ADMIN_ROLE XDBADMIN XDB_SET_INVOKER XDB_WEBSERVICES XDB_WEBSERVICES_OVER_HTTP XDB_WEBSERVICES_WITH_PUBLIC System Privileges: <Empty> Edit List: ACCESS_ANY_WORKSPACE ADMINISTER ANY SQL TUNING SET ADMINISTER DATABASE TRIGGER ADMINISTER RESOURCE MANAGER ADMINISTER SQL MANAGEMENT OBJECT ADMINISTER SQL TUNING SET ADVISOR ALTER ANY ASSEMBLY ALTER ANY CLUSTER ALTER ANY CUBE ALTER ANY CUBE DIMENSION ALTER ANY DIMENSION ALTER ANY EDITION ALTER ANY EVALUATION CONTEXT ALTER ANY INDEX ALTER ANY INDEXTYPE ALTER ANY LIBRARY ALTER ANY MATERIALIZED VIEW ALTER ANY MINING MODEL ALTER ANY OPERATOR ALTER ANY OUTLINE ALTER ANY PROCEDURE ALTER ANY ROLE ALTER ANY RULE ALTER ANY RULE SET ALTER ANY SEQUENCE ALTER ANY SQL PROFILE ALTER ANY TABLE ALTER ANY TRIGGER ALTER ANY TYPE ALTER DATABASE ALTER PROFILE ALTER RESOURCE COST ALTER ROLLBACK SEGMENT ALTER SESSION ALTER SYSTEM ALTER TABLESPACE ALTER USER ANALYZE ANY ANALYZE ANY DICTIONARY AUDIT ANY AUDIT SYSTEM BACKUP ANY TABLE BECOME USER CHANGE NOTIFICATION COMMENT ANY MINING MODEL COMMENT ANY TABLE CREATE ANY ASSEMBLY CREATE ANY CLUSTER CREATE ANY CONTEXT CREATE ANY CUBE CREATE ANY CUBE BUILD PROCESS CREATE ANY CUBE DIMENSION CREATE ANY DIMENSION CREATE ANY DIRECTORY CREATE ANY EDITION CREATE ANY EVALUATION CONTEXT CREATE ANY INDEX CREATE ANY INDEXTYPE CREATE ANY JOB CREATE ANY LIBRARY CREATE ANY MATERIALIZED VIEW CREATE ANY MEASURE FOLDER CREATE ANY MINING MODEL CREATE ANY OPERATOR CREATE ANY OUTLINE CREATE ANY PROCEDURE CREATE ANY RULE CREATE ANY RULE SET CREATE ANY SEQUENCE CREATE ANY SQL PROFILE CREATE ANY SYNONYM CREATE ANY TABLE CREATE ANY TRIGGER CREATE ANY TYPE CREATE ANY VIEW CREATE ASSEMBLY CREATE CLUSTER CREATE CUBE CREATE CUBE BUILD PROCESS CREATE CUBE DIMENSION CREATE DATABASE LINK CREATE DIMENSION CREATE EVALUATION CONTEXT CREATE EXTERNAL JOB CREATE INDEXTYPE CREATE JOB CREATE LIBRARY CREATE MATERIALIZED VIEW CREATE MEASURE FOLDER CREATE MINING MODEL CREATE OPERATOR CREATE PROCEDURE CREATE PROFILE CREATE PUBLIC DATABASE LINK CREATE PUBLIC SYNONYM CREATE ROLE CREATE ROLLBACK SEGMENT CREATE RULE CREATE RULE SET CREATE SEQUENCE CREATE SESSION CREATE SYNONYM CREATE TABLE CREATE TABLESPACE CREATE TRIGGER CREATE TYPE CREATE USER CREATE VIEW CREATE_ANY_WORKSPACE DEBUG ANY PROCEDURE DEBUG CONNECT SESSION DELETE ANY CUBE DIMENSION DELETE ANY MEASURE FOLDER DELETE ANY TABLE DEQUEUE ANY QUEUE DROP ANY ASSEMBLY DROP ANY CLUSTER DROP ANY CONTEXT DROP ANY CUBE DROP ANY CUBE BUILD PROCESS DROP ANY CUBE DIMENSION DROP ANY DIMENSION DROP ANY DIRECTORY DROP ANY EDITION DROP ANY EVALUATION CONTEXT DROP ANY INDEX DROP ANY INDEXTYPE DROP ANY LIBRARY DROP ANY MATERIALIZED VIEW DROP ANY MEASURE FOLDER DROP ANY MINING MODEL DROP ANY OPERATOR DROP ANY OUTLINE DROP ANY PROCEDURE DROP ANY ROLE DROP ANY RULE DROP ANY RULE SET DROP ANY SEQUENCE DROP ANY SQL PROFILE DROP ANY SYNONYM DROP ANY TABLE DROP ANY TRIGGER DROP ANY TYPE DROP ANY VIEW DROP PROFILE DROP PUBLIC DATABASE LINK DROP PUBLIC SYNONYM DROP ROLLBACK SEGMENT DROP TABLESPACE DROP USER ENQUEUE ANY QUEUE EXECUTE ANY ASSEMBLY EXECUTE ANY CLASS EXECUTE ANY EVALUATION CONTEXT EXECUTE ANY INDEXTYPE EXECUTE ANY LIBRARY EXECUTE ANY OPERATOR EXECUTE ANY PROCEDURE EXECUTE ANY PROGRAM EXECUTE ANY RULE EXECUTE ANY RULE SET EXECUTE ANY TYPE EXECUTE ASSEMBLY EXPORT FULL DATABASE FLASHBACK ANY TABLE FLASHBACK ARCHIVE ADMINISTER FORCE ANY TRANSACTION FORCE TRANSACTION FREEZE_ANY_WORKSPACE GLOBAL QUERY REWRITE GRANT ANY OBJECT PRIVILEGE GRANT ANY PRIVILEGE GRANT ANY ROLE IMPORT FULL DATABASE INSERT ANY CUBE DIMENSION INSERT ANY MEASURE FOLDER INSERT ANY TABLE LOCK ANY TABLE MANAGE ANY FILE GROUP MANAGE ANY QUEUE MANAGE FILE GROUP MANAGE SCHEDULER MANAGE TABLESPACE MERGE ANY VIEW MERGE_ANY_WORKSPACE ON COMMIT REFRESH QUERY REWRITE READ ANY FILE GROUP REMOVE_ANY_WORKSPACE RESTRICTED SESSION RESUMABLE ROLLBACK_ANY_WORKSPACE SELECT ANY CUBE SELECT ANY CUBE DIMENSION SELECT ANY DICTIONARY SELECT ANY MINING MODEL SELECT ANY SEQUENCE SELECT ANY TABLE SELECT ANY TRANSACTION UNDER ANY TABLE UNDER ANY TYPE UNDER ANY VIEW UNLIMITED TABLESPACE UPDATE ANY CUBE UPDATE ANY CUBE BUILD PROCESS UPDATE ANY CUBE DIMENSION UPDATE ANY TABLE Object Privileges: <Empty> Add: Clase Java Clases de Trabajos Cola Columna de Tabla Columna de Vista Espacio de Trabajo Función Instantánea Origen Java Paquete Planificaciones Procedimiento Programas Secuencia Sinónimo Tabla Tipos Trabajos Vista Consumer Group Privileges: <Empty> Default Consumer Group: (*) None Edit List: AUTO_TASK_CONSUMER_GROUP BATCH_GROUP DEFAULT_CONSUMER_GROUP INTERACTIVE_GROUP LOW_GROUP ORA$AUTOTASK_HEALTH_GROUP ORA$AUTOTASK_MEDIUM_GROUP ORA$AUTOTASK_SPACE_GROUP ORA$AUTOTASK_SQL_GROUP ORA$AUTOTASK_STATS_GROUP ORA$AUTOTASK_URGENT_GROUP ORA$DIAGNOSTICS SYS_GROUP And, of course, I wonder what options I should pick.

  Read the article

• UK SQL Server User Group Events (June)

  There are two events of note for the SQL Server User Group in June.  The first is a Live Meeting event with myself on 04.06.2009.  I am going to be looking at how to integrate Data Mining into your BI solution.  I will be looking at putting DM into SSIS, SSAS and SSRS.  It will be very demo oriented.  You can register for the event here The second event is an event at Microsoft Reading on 10.06.2009.  The evening will be a BI/Data Mining event.  Chris Webb and myself are organizing it and  we want speakers.  We would love to see new faces up there telling us about their BI/DM solutions/Tips and Tricks.  If you want to speak at the event then let me or Chris know.  If you just want to attend then you can register here.

  Read the article

• UK SQL Server User Group Events (June)

  There are two events of note for the SQL Server User Group in June.  The first is a Live Meeting event with myself on 04.06.2009.  I am going to be looking at how to integrate Data Mining into your BI solution.  I will be looking at putting DM into SSIS, SSAS and SSRS.  It will be very demo oriented.  You can register for the event here The second event is an event at Microsoft Reading on 10.06.2009.  The evening will be a BI/Data Mining event.  Chris Webb and myself are organizing it and  we want speakers.  We would love to see new faces up there telling us about their BI/DM solutions/Tips and Tricks.  If you want to speak at the event then let me or Chris know.  If you just want to attend then you can register here.

  Read the article

• Twitter Storm VS. Google's MapReduce

  - by Edward J. Yoon

  IMO, the era of Information Retrieval is dead with the advent of SNS. And the question type is changed from "How many backlinks your site has?" to "How many people have clicked URL you've shared on SNS?". So many people who newbie in Big Data Analytics often asks me "How can I analyze stream data time-series pattern mining methods using Map/Reduce?", "How can I mining the valuable insights using Map/Reduce?", "blah~ blah~ using Map/Reduce?". The answer is No Map/Reduce.

  Read the article

• SQL Server 2012 RTM Available!

  - by Davide Mauri

  SQL Server 2012 is available for download! http://www.microsoft.com/sqlserver/en/us/default.aspx The Evaluation version is available here: http://www.microsoft.com/download/en/details.aspx?id=29066 and along with the SQL Server 2012 RTM there’s also the Feature Pack available: http://www.microsoft.com/download/en/details.aspx?id=29065 The Feature Pack is rich of useful and interesting stuff, something needed by some feature, like the Semantic Language Statistics Database some other a very good (I would say needed) download if you use certain technologies, like MDS or Data Mining. Btw, for Data Mining also the updated Excel Addin has been released and it’s available in the Feature Pack. As if this would not be enough, also the SQL Server Data Tools IDE has been released in RTM: http://msdn.microsoft.com/en-us/data/hh297027 Remember that SQL Server Data Tool is completely free and can be used with SQL Server 2005 and after. Happy downloading!

  Read the article

• Feature: "Sailing for the Prize"

  Oracle Data Mining supports yacht crew as BMW ORACLE Racing wins the America's Cup.

  Read the article

• Display with intel integrated graphics, bitcoin mine with Radeon 6950

  - by karategeek6

  I'm on Ubuntu Linux 11.04 64 bit. I have an intel i5 with integrated graphics and a Radeon 6950, with one monitor. I would like to run my graphics on the integrated card, and run bitcoin mining on the 6950. I have bitcoin mining working when I use the 6950 for both display and mining. Every time I try and and use the integrated graphics instead, OpenCL doesn't recognize my 6950. Using aticonfig --initial when using the integrated graphics for display breaks things. So I used the xorg.conf it created as a basis and tried to manually edit it. I really don't know what I'm doing, though. My last attempt is given below. The graphics ran off the integrated card, but the 6950 wasn't recognized. Any help would be greatly appreciated! xorg.conf: #Section "ServerLayout" # Identifier "Intel Layout" # Screen "Default Screen" # Identifier "aticonfig Layout" # Screen "aticonfig-Screen[0]-0" # Screen 0 "aticonfig-Screen[0]-0" 0 0 #EndSection Section "Module" Load "glx" EndSection # Intel Section "Device" Identifier "Intel Integrated Graphics" Driver "intel" BusID "PCI:0:2:0" EndSection Section "Monitor" Identifier "Default Monitor" Option "VendorName" "Monitor Vendor" Option "ModelName" "Monitor Name" Option "DPMS" "true" EndSection Section "Screen" Identifier "Default Screen" Device "Intel Integrated Graphics" Monitor "Default Monitor" DefaultDepth 24 EndSection # ATI Section "Device" Identifier "aticonfig-Device[0]-0" Driver "fglrx" BusID "PCI:1:0:0" EndSection Section "Monitor" Identifier "aticonfig-Monitor[0]-0" Option "VendorName" "ATI Proprietary Driver" Option "ModelName" "Generic Autodetecting Monitor" Option "DPMS" "true" EndSection Section "Screen" Identifier "aticonfig-Screen[0]-0" Device "aticonfig-Device[0]-0" Monitor "aticonfig-Monitor[0]-0" DefaultDepth 24 SubSection "Display" Viewport 0 0 Depth 24 EndSubSection EndSection

  Read the article

• Master Note for Generic Data Warehousing

  - by lajos.varady(at)oracle.com

  ++++++++++++++++++++++++++++++++++++++++++++++++++++ The complete and the most recent version of this article can be viewed from My Oracle Support Knowledge Section. Master Note for Generic Data Warehousing [ID 1269175.1] ++++++++++++++++++++++++++++++++++++++++++++++++++++In this Document   Purpose   Master Note for Generic Data Warehousing      Components covered      Oracle Database Data Warehousing specific documents for recent versions      Technology Network Product Homes      Master Notes available in My Oracle Support      White Papers      Technical Presentations Platforms: 1-914CU; This document is being delivered to you via Oracle Support's Rapid Visibility (RaV) process and therefore has not been subject to an independent technical review. Applies to: Oracle Server - Enterprise Edition - Version: 9.2.0.1 to 11.2.0.2 - Release: 9.2 to 11.2Information in this document applies to any platform. Purpose Provide navigation path Master Note for Generic Data Warehousing Components covered Read Only Materialized ViewsQuery RewriteDatabase Object PartitioningParallel Execution and Parallel QueryDatabase CompressionTransportable TablespacesOracle Online Analytical Processing (OLAP)Oracle Data MiningOracle Database Data Warehousing specific documents for recent versions 11g Release 2 (11.2)11g Release 1 (11.1)10g Release 2 (10.2)10g Release 1 (10.1)9i Release 2 (9.2)9i Release 1 (9.0)Technology Network Product HomesOracle Partitioning Advanced CompressionOracle Data MiningOracle OLAPMaster Notes available in My Oracle SupportThese technical articles have been written by Oracle Support Engineers to provide proactive and top level information and knowledge about the components of thedatabase we handle under the "Database Datawarehousing".Note 1166564.1 Master Note: Transportable Tablespaces (TTS) -- Common Questions and IssuesNote 1087507.1 Master Note for MVIEW 'ORA-' error diagnosis. For Materialized View CREATE or REFRESHNote 1102801.1 Master Note: How to Get a 10046 trace for a Parallel QueryNote 1097154.1 Master Note Parallel Execution Wait Events Note 1107593.1 Master Note for the Oracle OLAP OptionNote 1087643.1 Master Note for Oracle Data MiningNote 1215173.1 Master Note for Query RewriteNote 1223705.1 Master Note for OLTP Compression Note 1269175.1 Master Note for Generic Data WarehousingWhite Papers Transportable Tablespaces white papers Database Upgrade Using Transportable Tablespaces:Oracle Database 11g Release 1 (February 2009) Platform Migration Using Transportable Database Oracle Database 11g and 10g Release 2 (August 2008) Database Upgrade using Transportable Tablespaces: Oracle Database 10g Release 2 (April 2007) Platform Migration using Transportable Tablespaces: Oracle Database 10g Release 2 (April 2007)Parallel Execution and Parallel Query white papers Best Practices for Workload Management of a Data Warehouse on the Sun Oracle Database Machine (June 2010) Effective resource utilization by In-Memory Parallel Execution in Oracle Real Application Clusters 11g Release 2 (Feb 2010) Parallel Execution Fundamentals in Oracle Database 11g Release 2 (November 2009) Parallel Execution with Oracle Database 10g Release 2 (June 2005)Oracle Data Mining white paper Oracle Data Mining 11g Release 2 (March 2010)Partitioning white papers Partitioning with Oracle Database 11g Release 2 (September 2009) Partitioning in Oracle Database 11g (June 2007)Materialized Views and Query Rewrite white papers Oracle Materialized Views  and Query Rewrite (May 2005) Improving Performance using Query Rewrite in Oracle Database 10g (December 2003)Database Compression white papers Advanced Compression with Oracle Database 11g Release 2 (September 2009) Table Compression in Oracle Database 10g Release 2 (May 2005)Oracle OLAP white papers On-line Analytic Processing with Oracle Database 11g Release 2 (September 2009) Using Oracle Business Intelligence Enterprise Edition with the OLAP Option to Oracle Database 11g (July 2008)Generic white papers Enabling Pervasive BI through a Practical Data Warehouse Reference Architecture (February 2010) Optimizing and Protecting Storage with Oracle Database 11g Release 2 (November 2009) Oracle Database 11g for Data Warehousing and Business Intelligence (August 2009) Best practices for a Data Warehouse on Oracle Database 11g (September 2008)Technical PresentationsA selection of ObE - Oracle by Examples documents: Generic Using Basic Database Functionality for Data Warehousing (10g) Partitioning Manipulating Partitions in Oracle Database (11g Release 1) Using High-Speed Data Loading and Rolling Window Operations with Partitioning (11g Release 1) Using Partitioned Outer Join to Fill Gaps in Sparse Data (10g) Materialized View and Query Rewrite Using Materialized Views and Query Rewrite Capabilities (10g) Using the SQLAccess Advisor to Recommend Materialized Views and Indexes (10g) Oracle OLAP Using Microsoft Excel With Oracle 11g Cubes (how to analyze data in Oracle OLAP Cubes using Excel's native capabilities) Using Oracle OLAP 11g With Oracle BI Enterprise Edition (Creating OBIEE Metadata for OLAP 11g Cubes and querying those in BI Answers) Building OLAP 11g Cubes Querying OLAP 11g Cubes Creating Interactive APEX Reports Over OLAP 11g CubesSelection of presentations from the BIWA website:Extreme Data Warehousing With Exadata  by Hermann Baer (July 2010) (slides 2.5MB, recording 54MB)Data Mining Made Easy! Introducing Oracle Data Miner 11g Release 2 New "Work flow" GUI   by Charlie Berger (May 2010) (slides 4.8MB, recording 85MB )Best Practices for Deploying a Data Warehouse on Oracle Database 11g  by Maria Colgan (December 2009)  (slides 3MB, recording 18MB, white paper 3MB )

  Read the article

• SQLAuthority News – Feature Pack for Microsoft SQL Server 2005 SP4

  - by pinaldave

  If you are still using SQL Server 2005 – I suggest that you consider migrating to later version of the SQL Server 2008/2008 R2. Due to any reason, you wanted to continue using SQL Server 2005, I suggest that you take a look at the Feature Pack for Microsoft SQL Server 2005 SP4. There are many different tools and features available in pack, which can be very handy and can solve issues. Microsoft ADOMD.NET Microsoft Core XML Services (MSXML) 6.0 Microsoft OLEDB Provider for DB2 Microsoft SQL Server Management Pack for MOM 2005 Microsoft SQL Server 2000 PivotTable Services Microsoft SQL Server 2000 DTS Designer Components Microsoft SQL Server Native Client Microsoft SQL Server 2005 Analysis Services 9.0 OLE DB Provider Microsoft SQL Server 2005 Backward Compatibility Components Microsoft SQL Server 2005 Command Line Query Utility Microsoft SQL Server 2005 Datamining Viewer Controls Microsoft SQL Server 2005 JDBC Driver Microsoft SQL Server 2005 Management Objects Collection Microsoft SQL Server 2005 Compact Edition Microsoft SQL Server 2005 Notification Services Client Components Microsoft SQL Server 2005 Upgrade Advisor Microsoft .NET Data Provider for mySAP Business Suite, Preview Version Reporting Add-In for Microsoft Visual Web Developer 2005 Express Microsoft Exception Message Box Data Mining Managed Plug-in Algorithm API for SQL Server 2005 Microsoft SQL Server 2005 Reporting Services Add-in for Microsoft SharePoint Technologies Microsoft SQL Server 2005 Data Mining Add-ins for Microsoft Office 2007 SQL Server 2005 Performance Dashboard Reports SQL Server 2005 Best Practices Analyzer Download Feature Pack for Microsoft SQL Server 2005 SP4 Reference: Pinal Dave (http://blog.sqlauthority.com) Filed under: SQL, SQL Authority, SQL Documentation, SQL Download, SQL Query, SQL Server, SQL Service Pack, SQL Tips and Tricks, SQLAuthority News, T SQL, Technology

  Read the article

• links for 2010-04-29

  - by Bob Rhubart

  AS11 Oracle B2B Sync Support - Series 1 (Oracle Fusion Middleware - B2B Team Blog) Sinkarbabu Kirubanithi with part 1 of a planned 3-part series on synchronous message support in Oracle B2B 11g. (tags: oracle otn fusionmiddleware b2b) Java 2 Go!: How to write a simple yet “bullet-proof” object cache "So, while we were thinking hard to come up with the most efficient, generic and elegant way of finally implementing our weak and soft caches, Mr. Eric Chan, who is one of the main architects in Oracle Beehive team, had a very interesting breakthrough. In short terms, he thought of a very nice way of combining both WeakReference and SoftReference in our weak and soft caches so that they would provide exactly the same functionality without having to deal with those reference queues at all. Basically, instead of using a plain HashMap as our backing storage, we used a java.util.WeakHashMap in both our cache implementations. The hat trick was what and how to store things in it." - Eduardo Rodrigues (tags: oracle java sun) @jamet123: First Look – Oracle Data Mining "[Oracle Data Mining] is a nice product for Oracle database customers and well worth looking into. The new UI will only make it more so." James Taylor (tags: oracle otn datamining database) Live Webcast: Social BPM: Integrating Enterprise 2.0 with Business Applications #oracle Peggy Chen and Dan Tortorici show you how to take your business to the next level with a unified solution that fosters process-based collaboration between employees, partners, and customers. Wednesday, May 12, 2010 at 11:00am PT / 2:00pm ET (tags: oracle otn enterprise2.0 webcast)

  Read the article

• text extraction from video game dialogue files [on hold]

  - by wdwvt1

  As part of an academic project, I am trying to access the dialogue files (whether audio or text) from a variety of sports video games (Madden or NBA 2kX would be fantastic). I have searched extensively on other sites (scholarly text-mining publications, r/gaming, r/madden, modding sites, etc.) for guidance in how to extract dialogue files, but have been unsuccessful. Given that I don't have even the domain specific language to ask the right question (i.e. the resources I am seeking are out there, I just can't find them) I am asking the SE game dev community for help with the 2 following questions: Is there a canonical resource that I should study that would get me started with how to extract text or audio files from games? I am very fluent in python, which usually excels at mining information from sources, but I struggle with knowing where to start with a video game (as opposed to a more familiar database with a defined API). Is this even feasible, or are protections included with newer games (e.g. NBA 2k13) going to make extraction of these resources in a programmatic way impossible? Thank you for your help!

  Read the article

• When transactionManager is not named "transactionManager" ...

  - by smallufo

  I am trying Spring 3(.0.2.RELEASE) and JPA2 and Hibernate 3.5.1-Final... One thing upsets me is that spring seems only accept a transaction Manager named "transactionManager" If I don't name it "transactionManager" , Spring will throws NoSuchBeanDefinitionException: No bean named 'transactionManager' is defined. Here is my config : <context:component-scan base-package="destiny.data.mining"/> <context:annotation-config/> <bean id="miningEntityManagerFactory" class="org.springframework.orm.jpa.LocalContainerEntityManagerFactoryBean"> <property name="persistenceUnitName" value="mining"/> </bean> <bean id="miningTransactionManager" class="org.springframework.orm.jpa.JpaTransactionManager" > <property name="entityManagerFactory" ref="miningEntityManagerFactory"/> </bean> <tx:advice id="txAdviceMining" transaction-manager="miningTransactionManager"> <tx:attributes> <tx:method name="get*" read-only="true"/> <tx:method name="save*" propagation="REQUIRED"/> <tx:method name="update*" propagation="REQUIRED"/> <tx:method name="delete*" propagation="REQUIRED"/> <tx:method name="*" propagation="SUPPORTS" read-only="true"/> </tx:attributes> </tx:advice> <aop:config> <aop:pointcut id="methods" expression="execution(* destiny.utils.AbstractDao+.*(..))"/> <aop:advisor advice-ref="txAdviceMining" pointcut-ref="methods"/> </aop:config> <tx:annotation-driven transaction-manager="miningTransactionManager"/> In this config , an Entity Manager Factory is not necessarily named "entityManagerFactory" , and "txAdvice" is not necessarily named "txAdvice" , either. But I don't know why on earth Spring requires a transaction manager named "transactionManager" ? Is there any way not to name a transaction manager "transactionManager" ? (I'm running multiple spring config files , so I try my best to avoid name-conflicting) test code : @RunWith(SpringJUnit4ClassRunner.class) @ContextConfiguration(locations={"classpath:mining.xml"}) public class MiningPersonDaoTest { @Inject private EntityManagerFactory miningEntityManagerFactory; @Inject private MiningPersonDao miningPersonDao; @Transactional @Test public void testUpdate() { MiningPerson p = miningPersonDao.get(42L); p.setLocationName("OOXX"); miningPersonDao.update(p); System.out.println(p); } } ii

  Read the article

< Previous Page | 2 3 4 5 6 7 8 9 10 11 12 13  | Next Page >