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.
New implementations:
Introduces a recurrent concept drift stream generator.
Adapts Instance and Attribute classes to implement toString method, allowing writing ARFF format outputs.
Bugs:
Slightly changes SEAGenerator option, as long as there were a char option duplicate.