K 10 svn:author V 4 miwi K 8 svn:date V 27 2007-01-22T07:51:28.000000Z K 7 svn:log V 474 Weka is a collection of machine learning algorithms for data mining tasks. The algorithms can either be applied directly to a dataset or called from your own Java code. Weka contains tools for data pre-processing, classification, regression, clustering, association rules, and visualization. It is also well-suited for developing new machine learning schemes. WWW: http://www.cs.waikato.ac.nz/ml/weka/ PR: ports/108143 Submitted by: Simon Olofsson END