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.
Adding the Streaming Random Patches (SRP) algorithm.
Test resources also included in this PR.
More details about the algorithm: Streaming Random Patches for Evolving Data Stream Classification. Heitor Murilo Gomes, Jesse Read, Albert Bifet. IEEE International Conference on Data Mining (ICDM), 2019.
Adding the Streaming Random Patches (SRP) algorithm. Test resources also included in this PR.
More details about the algorithm: Streaming Random Patches for Evolving Data Stream Classification. Heitor Murilo Gomes, Jesse Read, Albert Bifet. IEEE International Conference on Data Mining (ICDM), 2019.