The WEKA data mining software

Author:

Hall Mark1,Frank Eibe2,Holmes Geoffrey2,Pfahringer Bernhard2,Reutemann Peter2,Witten Ian H.2

Affiliation:

1. Pentaho Corporation, Orlando, FL

2. University of Waikato, Hamilton, New Zealand

Abstract

More than twelve years have elapsed since the first public release of WEKA. In that time, the software has been rewritten entirely from scratch, evolved substantially and now accompanies a text on data mining [35]. These days, WEKA enjoys widespread acceptance in both academia and business, has an active community, and has been downloaded more than 1.4 million times since being placed on Source-Forge in April 2000. This paper provides an introduction to the WEKA workbench, reviews the history of the project, and, in light of the recent 3.6 stable release, briefly discusses what has been added since the last stable version (Weka 3.4) released in 2003.

Publisher

Association for Computing Machinery (ACM)

Reference39 articles.

1. NATO Science Series;Bennett K.,2003

2. C.-C. Chang and C.-J. Lin. LIBSVM: a library for support vector machines 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm. C.-C. Chang and C.-J. Lin. LIBSVM: a library for support vector machines 2001. Software available at http://www.csie.ntu.edu.tw/~cjlin/libsvm.

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