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, a
- Dias, G. & Alves, E. (2005). Language-Independent Informative Topic Segmentation. In Proceedings of the 9th International Symposium on Social Communication. Santiago de Cuba, Cuba, January 24-28. pp. 588-592. ISBN: 9597174057. [pdf]
S. Chu, J. Roddick, und A. Australia. In Data Mining II-Proceedings of Second International Conference on Data Mining Methods and Databases, Seite 515--523. (2000)
R. Almeida, und V. Almeida. WWW '04: Proceedings of the 13th international conference on World Wide Web, Seite 413--421. New York, NY, USA, ACM Press, (2004)