Mloss is a community effort at producing reproducible research via open source software, open access to data and results, and open standards for interchange.
Mahout currently has Collaborative Filtering User and Item based recommenders K-Means, Fuzzy K-Means clustering Mean Shift clustering Dirichlet process clustering Latent Dirichlet Allocation Singular value decomposition Parallel Frequent Pattern mining Complementary Naive Bayes classifier Random forest decision tree based classifier High performance java collections (previously colt collections) A vibrant community and many more cool stuff to come by this summer thanks to Google summer of code
Platform for sharing and evaluation of intelligent algorithms. Data mining data, experiments, datasets, performance analysis, data repository, challenges. Research and applications, prediction. Data mining and machine learning
D. Krompass, M. Nickel, und V. Tresp. International Conference on Data Science and Advanced Analytics, DSAA 2014, Shanghai, China, October 30 - November 1, 2014, Seite 18--24. IEEE, (2014)
P. Bitzer, F. Weiß, und J. Leimeister. Eighth International Conference on Design Science Research in Information Systems and Technology (DESRIST), Helsinki, Finland (accepted for publication), (2013)
A. Coates, H. Lee, und A. Ng. Proceedings of the Fourteenth International Conference on Artificial Intelligence and Statistics, Volume 15 von JMLR Workshop and Conference Proceedings, Seite 215--223. JMLR W&CP, (2011)