<?xml version="1.0" encoding="UTF-8"?>
<posts update='2008-10-06 18:32:48' user=""><post 
   href="http://www.cs.waikato.ac.nz/~ml/weka/" 
   description="Weka 3 - Data Mining with Open Source Machine Learning Software in Java" 
   
   hash="81f1a56fef0413eaafde40fdbd00fb0d"
   user="mschuber"
   tag="java machine-learning software tools weka "
   time="2008-10-06T14:52:00+0200" />
<post 
   href="http://maya.cs.depaul.edu/~classes/ect584/WEKA/associate.html" 
   description="Association Rule Mining with WEKA" 
   
     extended="This example illustrates some of the basic elements of associate rule mining using WEKA." 
   
   hash="38dda525b69095ab3fbe0173733731e4"
   user="steff83"
   tag="association mining rule weka "
   time="2008-09-26T13:00:07+0200" />
<post 
   href="http://weka.sourceforge.net/wiki/index.php/Use_Weka_in_your_Java_code" 
   description="Use Weka in your Java code - WekaWiki" 
   
   hash="9d3dd6e664be70439b25ccdb877730d9"
   user="michi"
   tag="java programming weka wiki "
   time="2008-06-18T14:58:10+0200" />
<post 
   href="http://www.cs.waikato.ac.nz/ml/weka/" 
   description="Weka 3 - Data Mining with Open Source Machine Learning Software in Java" 
   
   hash="807f4e326190a6e4c7fccb8d26ee4834"
   user="michi"
   tag="datamining java programming tools weka "
   time="2008-06-18T14:58:10+0200" />
<post 
   href="http://weka.sourceforge.net/doc/" 
   description="WEKA Api - Overview" 
   
   hash="c1b56fedf23a1373562cbf620bfc94b2"
   user="michi"
   tag="api java ml programming weka "
   time="2008-06-18T14:58:04+0200" />
<post 
   href="http://javamagazin.de/itr/online_artikel/psecom,id,792,nodeid,11.html" 
   description="Maschinenlernen - Java Magazin - Internet &amp; Enterprise Technology - Online-Artikel" 
   
     extended="Wie funktioniert ein Spam-Filter? Diese Frage lässt sich dank des quelloffenen Data-Mining-Frameworks Weka leicht beantworten, indem aufbauend auf vorgefertigten Komponenten eine maschinelle Textklassifikation in Java implementiert wird. Dieser Beitrag erläutert das notwendige Hintergrundwissen und zeigt den Umgang mit der Weka-Software." 
   
   hash="2b2d775270bb1d5c545aa7d33efe214e"
   user="michi"
   tag="datamining framework java ml programming tools weka "
   time="2008-06-18T14:57:57+0200" />
<post 
   href="http://wekadocs.com/node/13" 
   description="Analysing The Output | Weka Docs" 
   
   hash="a4768dc8d68c179a2351cb95ab81361a"
   user="beate"
   tag="data-mining doc output tutorial weka "
   time="2008-06-12T08:36:59+0200" />
<post 
   href="https://list.scms.waikato.ac.nz/pipermail/wekalist/2005-August/004767.html" 
   description="[Wekalist] Numeric to Nominal (Logistic and NaiveBayes)" 
   
     extended="Using Weka with numeric features" 
   
   hash="23c21a7acf62ad3b1cdb5e74649363cf"
   user="fsteeg"
   tag="diss ml weka "
   time="2008-05-17T17:30:08+0200" />
<post 
   href="http://www.kyb.tuebingen.mpg.de/bs/people/spider/" 
   description="Spider" 
   
   hash="8e2466d593b779ef64e9ecaf859877f0"
   user="rwdai"
   tag="lib matlab ml spider weka "
   time="2008-05-14T05:17:05+0200" />
<post 
   href="http://weka.sourceforge.net/wiki/index.php/Databases" 
   description="Databases - WekaWiki" 
   
   hash="47a1ac91ca2f9778168ae356c437bcd0"
   user="michi"
   tag="databases java programming weka wiki "
   time="2008-02-15T12:25:37+0100" />
</posts>
