MOA: Massive Online Analysis

Abstract

Massive Online Analysis (MOA) is a software environment for implementing algorithms and run-ning 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 Naı̈ve Bayes classifiers at the leaves. MOA supports bi-directional interaction with WEKA, the Waikato Environment for Knowledge Analy-sis, and is released under the GNU GPL license.