MOA is an open source framework for Big Data stream mining. It includes a collection of machine learning algorithms (classification, regression, clustering, outlier detection, concept drift detection and recommender systems) and tools for evaluation.
Add the Dynamic weighted majority algorithm, as proposed by J. Zico Kolter and Marcus A. Maloof. Dynamic weighted majority: An ensemble method for drifting concepts. The Journal of Machine Learning Research, 8:2755-2790, December 2007. ISSN 1532-4435. URL http://dl.acm.org/citation.cfm?id=1314498.1390333.
Add the Dynamic weighted majority algorithm, as proposed by J. Zico Kolter and Marcus A. Maloof. Dynamic weighted majority: An ensemble method for drifting concepts. The Journal of Machine Learning Research, 8:2755-2790, December 2007. ISSN 1532-4435. URL http://dl.acm.org/citation.cfm?id=1314498.1390333.