New Release of MOA 14.11

We’ve made a new release of MOA 14.11. The new features of this release are: Lazy kNN methods. Albert Bifet, Bernhard Pfahringer, Jesse Read, Geoff Holmes: Efficient data stream classification via probabilistic adaptive windows. SAC 2013: 801-806 SGDMultiClass for multi-class SGD learning. OnlineSmoothBoost Shang-Tse Chen, Hsuan-Tien Lin, Chi-Jen Lu:An Online Boosting Algorithm with Theoretical Justifications. […]

New release of MOA 13.08

We’ve made a new release of MOA 13.08. The new features of this release are: new outlier detection tab Dimitrios Georgiadis, Maria Kontaki, Anastasios Gounaris, Apostolos N. Papadopoulos, Kostas Tsichlas, Yannis Manolopoulos: Continuous outlier detection in data streams: an extensible framework and state-of-the-art algorithms. SIGMOD Conference 2013: 1061-1064 new regression tab FIMT-DD regression tree Elena […]

Pre-release of MOA 13.08

We are preparing a new release of MOA 13.08. The new release of MOA will contain the FIMT-DD regression tree, the Adaptive Model Rules, a recommender system based in BRISMFPredictor, and some more features in clustering and a new outlier detection tab. You will find the source code at the repository: https://code.google.com/p/moa/ Cheers, The MOA Team

CFP – KDD BIGMINE Workshop on Big Data Mining

Big Data Mining 2nd International Workshop on Big Data, Streams and Heterogeneous Source Mining: Algorithms, Systems, Programming Models and Applications (BigMine-13) Conference Dates: August 11-14, 2013 Workshop Date: Aug 11, 2013 Chicago, USA http://www.bigdata-mining.org Key dates: Papers due: June 6th 23:59PM Acceptance notification: June 25, 2013 Workshop Final Paper Due: July 2, 2013 Paper submission […]