MOA is an open source framework for data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection and recommender systems) and tools for evaluation. Related to the WEKA project, MOA is also written in Java, while scaling to more demanding problems. Overview.
MOA performs BIG DATA stream mining in real time, and large scale machine learning. MOA can be easily used with Hadoop, S4 or Storm, and extended with new mining algorithms, and new stream generators or evaluation measures. The goal is to provide a benchmark suite for the stream mining community. Details