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Weka 3 - Data Mining with Open Source Machine Learning Software in Java

Documentation

Weka 3.4 has extensive help facilities built in, and comes with a guide for the Weka Explorer interface, as well as a copy of the Weka chapter from the first edition of the data mining book (based on the old 3.0 version of Weka). However, there is also:

  • The Weka API, extracted from the source code using the Javadoc utility. (Also included in the Weka distribution.)

  • A presentation demonstrating all graphical user interfaces in Weka. (Warning: this is a large Powerpoint file.)

  • The archive of the Weka mailing list.

  • An introduction, written by Alex K. Seewald, to using Weka 3.4.4 from the command line.

  • A page documenting the ARFF data format used by Weka.

  • A page for trouble-shooting Weka.

  • A description of the Bayes net package in Weka. (html)

  • A page describing how to load your MS Access database into the Weka Explorer.

  • A page describing the use of XML in WEKA.

  • A page describing how to make new classifiers, filters, etc. available in WEKA (GenericObjectEditor).

  • A tutorial for the Experimenter based on Weka 3.2.

  • A page where you can find highlightings of the ARFF format for various editors.

  • A page where you can find a step by step instruction of how to setup WEKA with Eclipse.

  • A Weka tutorial in Spanish.

  • The WekaWiki on Sourceforge.net.

  • A page describing the Stemmer support in Weka.

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