Pentaho Data Mining - Weka

Data Mining is the process of running data through sophisticated algorithms to uncover meaningful patterns and correlations that may otherwise be hidden. Pentaho Data Mining incorporates Weka, a collection of machine learning algorithms applied to data mining tasks. These algorithms are combined with OLAP technologies to merge machine-intelligent data analysis with business process solutions. Data mining tools can analyze historical data to create predictive models of business processes.

All the features of the BI Platform will be supported including web services, workflow integration, security, auditing, scheduling, navigation, portal integration, workbench-based designer and administration tools.

• URL:

  http://weka.pentaho.com

  Lead:

  Triage

  Key:

  DATAMINING

• DATAMINING-270 2010-04-08T11-29 2010-08-25T21-01 Hellinger Distance
• DATAMINING-41 2008-02-17T17-17 2008-03-12T16-00 Execution of PDI (Kettle) transforms in KnowledgeFlow
• DATAMINING-53 2008-02-21T20-14 2008-02-21T20-14 Ability to output sparse instances from the ArffOutput step

• DATAMINING-295 2010-08-25T05-02 Last Sunday 6:34 PM Add an "InputMappedClassifier" that can wrap a classifier and map between the data structure used to learn the model and incoming test instances structure
• DATAMINING-296 2010-08-25T05-08 Last Thursday 6:06 PM FilteredClassifier throws an exception if the filter does not make a test instance available immediately
• DATAMINING-270 2010-04-08T11-29 25/Aug/10 Hellinger Distance

• 1.1 (Kettle DM plugins)  
• 3.4.18  
• 3.6.4