Weka 3: Data Mining Software in Java

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.

Weka is open source software issued under the GNU General Public License.

The open-source BI software company Pentaho is a major sponsor of Weka development and provides a live forum for interaction among Weka project community members.

Please post Weka-related questions, comments, and bug reports to the Weka mailing list (don't forget to check out the online documentation first, before posting to the list). There is also the searchable mailing list archive (Mirrors: news.gmane.org, Nabble). Please do not email individual members of our research group about Weka problems.

Also, please have in mind that your message will be sent to several thousand people, so please post according to the Mailing List Etiquette. The administrator also removes members from the mailing list in case their mailboxes run full, since they apparently don't read their emails anymore.

Bug reports can be made to the Weka mailing list or to JIRA at Pentaho.

##weka on freenode.

Wekalist archives Wekalist at news.gmane.org Wekalist at Nabble Weka forum at Pentaho