jmlr jmlr2010 jmlr2010-70 jmlr2010-70-reference knowledge-graph by maker-knowledge-mining
Source: pdf
Author: Albert Bifet, Geoff Holmes, Richard Kirkby, Bernhard Pfahringer
Abstract: Massive Online Analysis (MOA) is a software environment for implementing algorithms and running experiments for online learning from evolving data streams. MOA includes a collection of offline and online methods as well as tools for evaluation. In particular, it implements boosting, bagging, and Hoeffding Trees, all with and without Na¨ve Bayes classifiers at the leaves. MOA ı supports bi-directional interaction with WEKA, the Waikato Environment for Knowledge Analysis, and is released under the GNU GPL license. Keywords: data streams, classification, ensemble methods, java, machine learning software
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