Research Notes 2: Literature in Plan

1. Data stream mining algorithms: Understand the data stream mining mechanisms that can be integrated and evaluation criteria against concept drift


2. Parallel data mining: Understand the frameworks, mechanisms and evaluation criteria


3. Ensemble mining: Understand the frameworks and mechanisms


4. Multi-Stream Mining: Understand the frameworks, mechanisms and evaluation criteria against concept drift


5. Spatio-Temporal Mining: Understand how the mining associate spatial and temporal relationship and evaluation criteria