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.
B. Jury, A. Lorusso, J. Leinonen, P. Denny, and A. Luxton-Reilly. Proceedings of the 26th Australasian Computing Education Conference, page 77–86. New York, NY, USA, Association for Computing Machinery, (Jan 29, 2024)
J. Savelka, A. Agarwal, M. An, C. Bogart, and M. Sakr. Proceedings of the 2023 ACM Conference on International Computing Education Research - Volume 1, volume 1 of ICER '23, page 78–92. New York, NY, USA, Association for Computing Machinery, (Sep 10, 2023)
M. Liffiton, B. Sheese, J. Savelka, and P. Denny. Proceedings of the 23rd Koli Calling International Conference on Computing Education Research, page 1–11. New York, NY, USA, Association for Computing Machinery, (Feb 6, 2024)
M. Ota, M. Ikeguchi, and A. Kidera. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 101 (51):
17658-17663(December 2004)