On the Soundness and Security of Privacy-Preserving SVM for Outsourcing Data Classification

Online Ensemble Learning of Data Streams with Gradually Evolved Classes Abstract Class evolution, the phenomenon of class emergence and disappearance, is an important research topic for data stream mining. All previous studies implicitly regard class evolution as a transient change, which is not true for many real-world problems. This paper concerns the scenario where classesemerge or disappear gradually. A class-based ensemble approach, namely Class-Based ensemble forClass Evolution (CBCE), is proposed. By maintaining […]