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  • Failed dependency while installing browser Iron(A google chrome clone)

    - by Krishnadas PC
    Installation failed while trying to install Iron browser. [root@localhost softwares]# rpm -ivh iron64.rpm error: Failed dependencies: libc.so.6(GLIBC_2.15)(64bit) is needed by iron64-29.0.1600-2.x86_64 libudev.so.1()(64bit) is needed by iron64-29.0.1600-2.x86_64 libudev.so.1(LIBUDEV_183)(64bit) is needed by iron64-29.0.1600-2.x86_64 and when tried to install using yum it failed also.

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  • Google Chrome Automatically Save Passwords

    - by benhc911
    I have seen, and at one point implemented, methods of modifying firefox's password manager popup such that it would automatically save usernames and passwords without prompt. I was wondering if there is a similar feature for Chrome. I just recently switched to chrome and it is one of a few features/modifications that didnt survive the transition, and while I am moderately capable in programming in certain languages (C+, visual etc) I don't really feel confident enough to muck around unguided. For anyone that is particularly interested, the other features I miss are things such as the slash based 'quick search' in firefox... and I am currently annoyed by a different right click menu order for opening in new tabs and new windows (the reverse of firefox). Any help would be greatly appreciated!

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  • Keyboard Shortcut for Navigating to a Text Field in Google Chrome

    - by Micky McQuade
    I am trying to use keyboard shortcuts more and more and have run across something I've not been able to figure out. If there is a text box on the page that I want to enter text into, how can I navigate to that field quickly without actually clicking on it with the mouse? I know I can just start tabbing and eventually get to it I've tried using Ctrl-F to find text near it and then tab to it Any ideas?

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  • Pasting a download link into google chrome

    - by fakeit
    When I want to download something in Safari, like http://foo.com/bar.zip, all I have to do is paste that link into the dowloads window. Is there a way to do this in Chrome? I've gotten used to Safari, hitting cmd-alt-L (dowloads window), and then pasting. It's quick, neat, and saves me going to FileSave As... I like to keep my hands on the keyboard, so if there is a quick way to do this without using a mouse, that's my ideal solution.

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  • Lightest way to run Google Hangouts Chrome app on Mac

    - by jadengore
    I recently transitioned to Safari because I'm really tired of how Chrome hogs memory and drains my battery like crazy. The only thing that has been keeping the Chrome icon open is the Hangouts plugin. Basically, I am looking for the lightest way to run Hangouts on my Mac. By light, I mean the least amount of RAM usage, and preferably a way to do it without Chrome open/light version of Chrome that only opens extensions. Any suggestions? EDIT: Another thing I noticed was that Hangouts ignores your default browser if links are sent to you by chat, and when clicked they open in Chrome. My question doesn't relate to this at all, but I found it interesting...

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  • Put Google Chrome, AVG on a flash drive

    - by duncan12
    I often install programs on others' computers such as LibreOffice, which, when they only have a dial-up connection, takes forever to download. So instead I keep it on a flash drive and install it from there. This works fine for LibreOffice. However, some programs, when you download them all you are downloading is a downloader - when you download ChromeSetup and open it, a installer window opens which actually downloads Chrome. Dial-up users then see that it will take 4 hours. Another example is AVG free antivirus - you download an installer, which when opened actually downloads AVG. However this doesn't work too well for dial-up users. How do I put the entire program of things like Chrome and AVG on a flash drive for fast installation on others' slow connections?

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  • Prevent history deletion on Google Chrome

    - by ProstheticHead
    One of the guys I'm in charge of hasn't been pulling his weight. His productivity and quality of workmanship are way down and his computer's been getting malware infections lately. You can see where this is going. I'm generally an easy going guy (and I don't want any trouble but I still have to address this issue). Is there a way to disable browser history deletion on Chrome? I'm hoping this alone will be enough of a deterrent to put things right.

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  • Embedding multiple Google Calendars in one frame

    - by cyruskazemi
    I have multiple secondary calendars under one account. I would like to be able to embed all of these calendars in the same frame on a web page so that anyone is able to view them. I tried making them all public but have only been able to embed one at a time because each calendar has a different address. Does anyone know if they can all be embedded at the same time?

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  • Value of links on negative review pages

    - by Sam Healey
    A general assumption with SEO is more links = higher rankings. What I would like to know is does Google know what those links are referring to. I.e. if somebody gives a product a good review on their personal blog and links the review to another companies website (who are selling the product), would Google take consideration for the review/description link. Essentially would Google know that this link refers to a product. So if somebody is looking to buy a product, Google would know to include this page because the previous link said it sells products rather than just having information on products. Then to take this further, does Google know if a link is positive or negative. For example, If somebody creates a post saying, do not visit example.com, example.com is bad because of blah blah blah. Would Google know that the link is getting bad feedback and therefore would it have a negative affect on rankings, or would Google go oh its just another link and give it better rankings?

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  • Populate google.visualization.DataTable for a AnnotatedTimeLine using JSON

    - by Lucifer
    Hi I have a HttpHandler which returns some JSON in (i think) the correct format for a google.visualization.DataTable, but the AnnotatedTimeLine fails to work? This is the JSON returned by the Handler: {cols: [{id: 'DATE', label: 'Date', type: 'date'}, {id: 'KEYWORD51', label: 'vw cheltenham', type: 'number'}, {id: 'KEYWORD52', label: 'volkswagen cheltenham', type: 'number'}, {id: 'KEYWORD61', label: 'vw dealer cheltenham', type: 'number'}], rows: [{c: [{v: new Date(2010, 3, 13)}, {v: 20}, {v: 1}, {v: 2}]}, {c: [{v: new Date(2010, 3, 14)}, {v: 19}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 15)}, {v: 19}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 16)}, {v: 18}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 17)}, {v: 17}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 18)}, {v: 17}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 19)}, {v: 12}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 20)}, {v: 13}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 21)}, {v: 11}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 22)}, {v: 10}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 23)}, {v: 10}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 24)}, {v: 8}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 25)}, {v: 6}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 26)}, {v: 6}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 27)}, {v: 5}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 28)}, {v: 4}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 29)}, {v: 4}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 3, 30)}, {v: 2}, {v: 1}, {v: 1}]}, {c: [{v: new Date(2010, 4, 1)}, {v: 2}, {v: 1}, {v: 1}]}, {c: [{v: new Date(2010, 4, 2)}, {v: 1}, {v: 1}, {v: 1}]}, {c: [{v: new Date(2010, 4, 3)}, {v: 2}, {v: 1}, {v: 1}]}, {c: [{v: new Date(2010, 4, 4)}, {v: 0}, {v: 1}, {v: 1}]}, {c: [{v: new Date(2010, 4, 5)}, {v: 0}, {v: 1}, {v: 1}]}, {c: [{v: new Date(2010, 4, 6)}, {v: 0}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 4, 7)}, {v: 0}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 4, 8)}, {v: 0}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 4, 9)}, {v: 0}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 4, 10)}, {v: 0}, {v: 0}, {v: 0}]}, {c: [{v: new Date(2010, 4, 11)}, {v: 0}, {v: 1}, {v: 1}]}, {c: [{v: new Date(2010, 4, 12)}, {v: 2}, {v: 1}, {v: 1}]}]} This is the Javascript, I used JQuery to get the JSON, have also tried $.getJSON() google.load('visualization', '1', { 'packages': ['annotatedtimeline'] }); google.setOnLoadCallback(loadGraph); function loadGraph() { $.get("/GraphDataHandler.axd", function(response) { drawGraph(response); }); } function drawGraph(response) { var visualization = new google.visualization.AnnotatedTimeLine(document.getElementById('chart_div')); var data = new google.visualization.DataTable(response, 0.6); visualization.draw(data, { title: 'Rankings', titleX: 'Date', titleY: 'Position', displayAnnotations: false, allowRedraw: true }); } But, if I write the same JSON to the page like below it works fine!? <script type="text/javascript"> //<![CDATA[ var gData = {cols: [{id: 'DATE', label: 'Date', type: 'date'}, {id: 'KEYWORD51', label: 'vw cheltenham', type: 'number'}], rows: [{c: [{v: new Date(2010, 3, 13)}, {v: 20}]}, {c: [{v: new Date(2010, 3, 14)}, {v: 19}]}, {c: [{v: new Date(2010, 3, 15)}, {v: 19}]}, {c: [{v: new Date(2010, 3, 16)}, {v: 18}]}, {c: [{v: new Date(2010, 3, 17)}, {v: 17}]}, {c: [{v: new Date(2010, 3, 18)}, {v: 17}]}, {c: [{v: new Date(2010, 3, 19)}, {v: 12}]}, {c: [{v: new Date(2010, 3, 20)}, {v: 13}]}, {c: [{v: new Date(2010, 3, 21)}, {v: 11}]}, {c: [{v: new Date(2010, 3, 22)}, {v: 10}]}, {c: [{v: new Date(2010, 3, 23)}, {v: 10}]}, {c: [{v: new Date(2010, 3, 24)}, {v: 8}]}, {c: [{v: new Date(2010, 3, 25)}, {v: 6}]}, {c: [{v: new Date(2010, 3, 26)}, {v: 6}]}, {c: [{v: new Date(2010, 3, 27)}, {v: 5}]}, {c: [{v: new Date(2010, 3, 28)}, {v: 4}]}, {c: [{v: new Date(2010, 3, 29)}, {v: 4}]}, {c: [{v: new Date(2010, 3, 30)}, {v: 2}]}, {c: [{v: new Date(2010, 4, 1)}, {v: 2}]}, {c: [{v: new Date(2010, 4, 2)}, {v: 1}]}, {c: [{v: new Date(2010, 4, 3)}, {v: 2}]}, {c: [{v: new Date(2010, 4, 4)}, {v: 0}]}, {c: [{v: new Date(2010, 4, 5)}, {v: 0}]}, {c: [{v: new Date(2010, 4, 6)}, {v: 0}]}, {c: [{v: new Date(2010, 4, 7)}, {v: 0}]}, {c: [{v: new Date(2010, 4, 8)}, {v: 0}]}, {c: [{v: new Date(2010, 4, 9)}, {v: 0}]}, {c: [{v: new Date(2010, 4, 10)}, {v: 0}]}, {c: [{v: new Date(2010, 4, 11)}, {v: 0}]}, {c: [{v: new Date(2010, 4, 12)}, {v: 2}]}]}; //]]> </script> Please advise how I can get it to work correctly using a the JSON calls? Thanks

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  • Each request takes 25-30 sec for Google Analytics API?

    - by SODA
    I'm using GAPI library (in PHP) for querying Google Analytics API. I request 2 dimensions (pagePath, date), 2 metric (pageviews, visits), past 365 days time range, and 2 filters for pagePath. Average time to get data for one query is 25-30 sec. When I use only 1 metric (pageviews), average response time is 3 sec. Why would there be such a difference when using 1 or 2 metrics?

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  • What if Google’s ‘Project Glass’ Ran on Windows? [Funny Video]

    - by Asian Angel
    The tech sphere has been abuzz lately about Google’s new ‘Project Glass’, but what would happen if it ran on Windows? You can view the original ‘Project Glass’ video below… Windows Project Glass: One day too… [via Geeks are Sexy] How to Stress Test the Hard Drives in Your PC or Server How To Customize Your Android Lock Screen with WidgetLocker The Best Free Portable Apps for Your Flash Drive Toolkit

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  • How can Google publish Dalvik as Java-language compatible since Java is a trademark?

    - by Bruno Chagas
    According to this thread Java and JVM license You can write a compiler that implements the Java Language Specification or write a JVM that implements the Java Virtual Machine specification, but when you officially want to call it "Java", you have to prove it is compatible by passing the tests of the TCK (technology compatibility kit) and pay for a license from Oracle. So, how can Google (or any other java implementation for that matter) claims that Dalvik is a Java virtual machine?

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  • Is the W3 standard a major factor when google decides SERP position?

    - by Camran
    I have a dynamic php website which index only has around 800 errors according to the w3 validator online. I have tried checking major websites like ebay, stackoverflow and others also, all with around 400 errors. So my first thought is, what good is that validator when it always displays errors? Secondly, will the errors affect my SERP ranking? ie, will me fixing these errors as good as I can increase my Google search position? Thanks

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  • Extending Oracle CEP with Predictive Analytics

    - by vikram.shukla(at)oracle.com
    Introduction: OCEP is often used as a business rules engine to execute a set of business logic rules via CQL statements, and take decisions based on the outcome of those rules. There are times where configuring rules manually is sufficient because an application needs to deal with only a small and well-defined set of static rules. However, in many situations customers don't want to pre-define such rules for two reasons. First, they are dealing with events with lots of columns and manually crafting such rules for each column or a set of columns and combinations thereof is almost impossible. Second, they are content with probabilistic outcomes and do not care about 100% precision. The former is the case when a user is dealing with data with high dimensionality, the latter when an application can live with "false" positives as they can be discarded after further inspection, say by a Human Task component in a Business Process Management software. The primary goal of this blog post is to show how this can be achieved by combining OCEP with Oracle Data Mining® and leveraging the latter's rich set of algorithms and functionality to do predictive analytics in real time on streaming events. The secondary goal of this post is also to show how OCEP can be extended to invoke any arbitrary external computation in an RDBMS from within CEP. The extensible facility is known as the JDBC cartridge. The rest of the post describes the steps required to achieve this: We use the dataset available at http://blogs.oracle.com/datamining/2010/01/fraud_and_anomaly_detection_made_simple.html to showcase the capabilities. We use it to show how transaction anomalies or fraud can be detected. Building the model: Follow the self-explanatory steps described at the above URL to build the model.  It is very simple - it uses built-in Oracle Data Mining PL/SQL packages to cleanse, normalize and build the model out of the dataset.  You can also use graphical Oracle Data Miner®  to build the models. To summarize, it involves: Specifying which algorithms to use. In this case we use Support Vector Machines as we're trying to find anomalies in highly dimensional dataset.Build model on the data in the table for the algorithms specified. For this example, the table was populated in the scott/tiger schema with appropriate privileges. Configuring the Data Source: This is the first step in building CEP application using such an integration.  Our datasource looks as follows in the server config file.  It is advisable that you use the Visualizer to add it to the running server dynamically, rather than manually edit the file.    <data-source>         <name>DataMining</name>         <data-source-params>             <jndi-names>                 <element>DataMining</element>             </jndi-names>             <global-transactions-protocol>OnePhaseCommit</global-transactions-protocol>         </data-source-params>         <connection-pool-params>             <credential-mapping-enabled></credential-mapping-enabled>             <test-table-name>SQL SELECT 1 from DUAL</test-table-name>             <initial-capacity>1</initial-capacity>             <max-capacity>15</max-capacity>             <capacity-increment>1</capacity-increment>         </connection-pool-params>         <driver-params>             <use-xa-data-source-interface>true</use-xa-data-source-interface>             <driver-name>oracle.jdbc.OracleDriver</driver-name>             <url>jdbc:oracle:thin:@localhost:1522:orcl</url>             <properties>                 <element>                     <value>scott</value>                     <name>user</name>                 </element>                 <element>                     <value>{Salted-3DES}AzFE5dDbO2g=</value>                     <name>password</name>                 </element>                                 <element>                     <name>com.bea.core.datasource.serviceName</name>                     <value>oracle11.2g</value>                 </element>                 <element>                     <name>com.bea.core.datasource.serviceVersion</name>                     <value>11.2.0</value>                 </element>                 <element>                     <name>com.bea.core.datasource.serviceObjectClass</name>                     <value>java.sql.Driver</value>                 </element>             </properties>         </driver-params>     </data-source>   Designing the EPN: The EPN is very simple in this example. We briefly describe each of the components. The adapter ("DataMiningAdapter") reads data from a .csv file and sends it to the CQL processor downstream. The event payload here is same as that of the table in the database (refer to the attached project or do a "desc table-name" from a SQL*PLUS prompt). While this is for convenience in this example, it need not be the case. One can still omit fields in the streaming events, and need not match all columns in the table on which the model was built. Better yet, it does not even need to have the same name as columns in the table, as long as you alias them in the USING clause of the mining function. (Caveat: they still need to draw values from a similar universe or domain, otherwise it constitutes incorrect usage of the model). There are two things in the CQL processor ("DataMiningProc") that make scoring possible on streaming events. 1.      User defined cartridge function Please refer to the OCEP CQL reference manual to find more details about how to define such functions. We include the function below in its entirety for illustration. <?xml version="1.0" encoding="UTF-8"?> <jdbcctxconfig:config     xmlns:jdbcctxconfig="http://www.bea.com/ns/wlevs/config/application"     xmlns:jc="http://www.oracle.com/ns/ocep/config/jdbc">        <jc:jdbc-ctx>         <name>Oracle11gR2</name>         <data-source>DataMining</data-source>               <function name="prediction2">                                 <param name="CQLMONTH" type="char"/>                      <param name="WEEKOFMONTH" type="int"/>                      <param name="DAYOFWEEK" type="char" />                      <param name="MAKE" type="char" />                      <param name="ACCIDENTAREA"   type="char" />                      <param name="DAYOFWEEKCLAIMED"  type="char" />                      <param name="MONTHCLAIMED" type="char" />                      <param name="WEEKOFMONTHCLAIMED" type="int" />                      <param name="SEX" type="char" />                      <param name="MARITALSTATUS"   type="char" />                      <param name="AGE" type="int" />                      <param name="FAULT" type="char" />                      <param name="POLICYTYPE"   type="char" />                      <param name="VEHICLECATEGORY"  type="char" />                      <param name="VEHICLEPRICE" type="char" />                      <param name="FRAUDFOUND" type="int" />                      <param name="POLICYNUMBER" type="int" />                      <param name="REPNUMBER" type="int" />                      <param name="DEDUCTIBLE"   type="int" />                      <param name="DRIVERRATING"  type="int" />                      <param name="DAYSPOLICYACCIDENT"   type="char" />                      <param name="DAYSPOLICYCLAIM" type="char" />                      <param name="PASTNUMOFCLAIMS" type="char" />                      <param name="AGEOFVEHICLES" type="char" />                      <param name="AGEOFPOLICYHOLDER" type="char" />                      <param name="POLICEREPORTFILED" type="char" />                      <param name="WITNESSPRESNT" type="char" />                      <param name="AGENTTYPE" type="char" />                      <param name="NUMOFSUPP" type="char" />                      <param name="ADDRCHGCLAIM"   type="char" />                      <param name="NUMOFCARS" type="char" />                      <param name="CQLYEAR" type="int" />                      <param name="BASEPOLICY" type="char" />                                     <return-component-type>char</return-component-type>                                                      <sql><![CDATA[             SELECT to_char(PREDICTION_PROBABILITY(CLAIMSMODEL, '0' USING *))               AS probability             FROM (SELECT  :CQLMONTH AS MONTH,                                            :WEEKOFMONTH AS WEEKOFMONTH,                          :DAYOFWEEK AS DAYOFWEEK,                           :MAKE AS MAKE,                           :ACCIDENTAREA AS ACCIDENTAREA,                           :DAYOFWEEKCLAIMED AS DAYOFWEEKCLAIMED,                           :MONTHCLAIMED AS MONTHCLAIMED,                           :WEEKOFMONTHCLAIMED,                             :SEX AS SEX,                           :MARITALSTATUS AS MARITALSTATUS,                            :AGE AS AGE,                           :FAULT AS FAULT,                           :POLICYTYPE AS POLICYTYPE,                            :VEHICLECATEGORY AS VEHICLECATEGORY,                           :VEHICLEPRICE AS VEHICLEPRICE,                           :FRAUDFOUND AS FRAUDFOUND,                           :POLICYNUMBER AS POLICYNUMBER,                           :REPNUMBER AS REPNUMBER,                           :DEDUCTIBLE AS DEDUCTIBLE,                            :DRIVERRATING AS DRIVERRATING,                           :DAYSPOLICYACCIDENT AS DAYSPOLICYACCIDENT,                            :DAYSPOLICYCLAIM AS DAYSPOLICYCLAIM,                           :PASTNUMOFCLAIMS AS PASTNUMOFCLAIMS,                           :AGEOFVEHICLES AS AGEOFVEHICLES,                           :AGEOFPOLICYHOLDER AS AGEOFPOLICYHOLDER,                           :POLICEREPORTFILED AS POLICEREPORTFILED,                           :WITNESSPRESNT AS WITNESSPRESENT,                           :AGENTTYPE AS AGENTTYPE,                           :NUMOFSUPP AS NUMOFSUPP,                           :ADDRCHGCLAIM AS ADDRCHGCLAIM,                            :NUMOFCARS AS NUMOFCARS,                           :CQLYEAR AS YEAR,                           :BASEPOLICY AS BASEPOLICY                 FROM dual)                 ]]>         </sql>        </function>     </jc:jdbc-ctx> </jdbcctxconfig:config> 2.      Invoking the function for each event. Once this function is defined, you can invoke it from CQL as follows: <?xml version="1.0" encoding="UTF-8"?> <wlevs:config xmlns:wlevs="http://www.bea.com/ns/wlevs/config/application">   <processor>     <name>DataMiningProc</name>     <rules>        <query id="q1"><![CDATA[                     ISTREAM(SELECT S.CQLMONTH,                                   S.WEEKOFMONTH,                                   S.DAYOFWEEK, S.MAKE,                                   :                                         S.BASEPOLICY,                                    C.F AS probability                                                 FROM                                 StreamDataChannel [NOW] AS S,                                 TABLE(prediction2@Oracle11gR2(S.CQLMONTH,                                      S.WEEKOFMONTH,                                      S.DAYOFWEEK,                                       S.MAKE, ...,                                      S.BASEPOLICY) AS F of char) AS C)                       ]]></query>                 </rules>               </processor>           </wlevs:config>   Finally, the last stage in the EPN prints out the probability of the event being an anomaly. One can also define a threshold in CQL to filter out events that are normal, i.e., below a certain mark as defined by the analyst or designer. Sample Runs: Now let's see how this behaves when events are streamed through CEP. We use only two events for brevity, one normal and other one not. This is one of the "normal" looking events and the probability of it being anomalous is less than 60%. Event is: eventType=DataMiningOutEvent object=q1  time=2904821976256 S.CQLMONTH=Dec, S.WEEKOFMONTH=5, S.DAYOFWEEK=Wednesday, S.MAKE=Honda, S.ACCIDENTAREA=Urban, S.DAYOFWEEKCLAIMED=Tuesday, S.MONTHCLAIMED=Jan, S.WEEKOFMONTHCLAIMED=1, S.SEX=Female, S.MARITALSTATUS=Single, S.AGE=21, S.FAULT=Policy Holder, S.POLICYTYPE=Sport - Liability, S.VEHICLECATEGORY=Sport, S.VEHICLEPRICE=more than 69000, S.FRAUDFOUND=0, S.POLICYNUMBER=1, S.REPNUMBER=12, S.DEDUCTIBLE=300, S.DRIVERRATING=1, S.DAYSPOLICYACCIDENT=more than 30, S.DAYSPOLICYCLAIM=more than 30, S.PASTNUMOFCLAIMS=none, S.AGEOFVEHICLES=3 years, S.AGEOFPOLICYHOLDER=26 to 30, S.POLICEREPORTFILED=No, S.WITNESSPRESENT=No, S.AGENTTYPE=External, S.NUMOFSUPP=none, S.ADDRCHGCLAIM=1 year, S.NUMOFCARS=3 to 4, S.CQLYEAR=1994, S.BASEPOLICY=Liability, probability=.58931702982118561 isTotalOrderGuarantee=true\nAnamoly probability: .58931702982118561 However, the following event is scored as an anomaly with a very high probability of  89%. So there is likely to be something wrong with it. A close look reveals that the value of "deductible" field (10000) is not "normal". What exactly constitutes normal here?. If you run the query on the database to find ALL distinct values for the "deductible" field, it returns the following set: {300, 400, 500, 700} Event is: eventType=DataMiningOutEvent object=q1  time=2598483773496 S.CQLMONTH=Dec, S.WEEKOFMONTH=5, S.DAYOFWEEK=Wednesday, S.MAKE=Honda, S.ACCIDENTAREA=Urban, S.DAYOFWEEKCLAIMED=Tuesday, S.MONTHCLAIMED=Jan, S.WEEKOFMONTHCLAIMED=1, S.SEX=Female, S.MARITALSTATUS=Single, S.AGE=21, S.FAULT=Policy Holder, S.POLICYTYPE=Sport - Liability, S.VEHICLECATEGORY=Sport, S.VEHICLEPRICE=more than 69000, S.FRAUDFOUND=0, S.POLICYNUMBER=1, S.REPNUMBER=12, S.DEDUCTIBLE=10000, S.DRIVERRATING=1, S.DAYSPOLICYACCIDENT=more than 30, S.DAYSPOLICYCLAIM=more than 30, S.PASTNUMOFCLAIMS=none, S.AGEOFVEHICLES=3 years, S.AGEOFPOLICYHOLDER=26 to 30, S.POLICEREPORTFILED=No, S.WITNESSPRESENT=No, S.AGENTTYPE=External, S.NUMOFSUPP=none, S.ADDRCHGCLAIM=1 year, S.NUMOFCARS=3 to 4, S.CQLYEAR=1994, S.BASEPOLICY=Liability, probability=.89171554529576691 isTotalOrderGuarantee=true\nAnamoly probability: .89171554529576691 Conclusion: By way of this example, we show: real-time scoring of events as they flow through CEP leveraging Oracle Data Mining.how CEP applications can invoke complex arbitrary external computations (function shipping) in an RDBMS.

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  • La documentation PHP maintenant disponible depuis Google Chrome, grâce à une nouvelle extension

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