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.
ere are listed some of the existing companion tools for Java™ development. We put the focus on the quality of the content. Boring marketing fluff is filtered out.
Although quite comprehensive, this list will never be exhaustive. You can submit new tools by using our submission form.
This site is in constant progress. New tools are added frequently. Use the RSS feeds to learn what's new or updated.
Search plug-ins for Firefox and Mozilla are available.
R. Abbott, J. Guo, и B. Parviz. The 2003 International Conference on Machine Learning;
Models, Technologies and Applications (MLMTA'03), las Vegas, CSREA Press, (23-26 June 2003)
A. Abdelbar, S. Ragab, и S. Mitri. Proceedings of The First Asian-Pacific Workshop on
Genetic Programming, стр. 9--15. Rydges (lakeside) Hotel, Canberra, Australia, (8 December 2003)
A. Abraham, и C. Grosan. Genetic Systems Programming: Theory and Experiences, том 13 из Studies in Computational Intelligence, Springer, Germany, Forthcoming.(2006)
A. Abraham, N. Nedjah, и L. de Macedo
Mourelle. Genetic Systems Programming: Theory and Experiences, том 13 из Studies in Computational Intelligence, Springer, Germany, (2006)