the underlying model, i.e., drift in the EDR direction or aberrant blocks in the data stream. A simulation study …

In ubiquitous data stream mining, different devices often aim to learn concepts that are similar to some extent. In … many applications, such as spam filtering or news recommendation, the data stream underlying concept (e.g., interesting … paper presents a novel Collaborative Data Stream Mining (Coll-Stream) approach that explores the similarities in the …

incremental optimization mechanism that seeks for a balance between accuracy and tree size for data stream mining. OVFDT operates … tree model makes a prediction for a new data stream in the testing phase. The optimized node-splitting mechanism controls …