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.
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B. Simon, P. Kinnunen, L. Porter, and D. Zazkis. ITiCSE '10: Proceedings of the fifteenth annual conference on Innovation and technology in computer science education, page 214--218. New York, NY, USA, ACM, (2010)
P. Abrahamsson, A. Hanhineva, and J. Jäälinoja. Business Agility and Information Technology Diffusion, volume 180 of IFIP International Federation for Information Processing, Springer Boston, 10.1007/0-387-25590-7_14.(2005)
E. Sweedyk, M. deLaet, M. Slattery, and J. Kuffner. SIGCSE '05: Proceedings of the 36th SIGCSE technical symposium on Computer science education, page 256--257. New York, NY, USA, ACM, (2005)
V. Lappalainen, J. Itkonen, V. Isomöttönen, and S. Kollanus. ITiCSE '10: Proceedings of the fifteenth annual conference on Innovation and technology in computer science education, page 63--67. New York, NY, USA, ACM, (2010)
T. Wright, and A. Cockburn. AUIC '05: Proceedings of the Sixth Australasian conference on User interface, page 55--62. Darlinghurst, Australia, Australia, Australian Computer Society, Inc., (2005)
M. Stevens, A. Kellens, J. Brichau, and T. D'Hondt. BENEVOL 2007 - 6th BElgian-NEtherlands software eVOLution workshop (Namur, Belgium, December 13-14, 2007), (2007)
J. Bennedssen, and M. Caspersen. Proceedings of the Fourth international Workshop on Computing Education Research, page 15--26. New York, NY, USA, ACM, (2008)