Editorial Board
Contents
Some current issues of streaming data mining
Clustering distributed data streams in peer-to-peer environments
A false negative approach to mining frequent itemsets from high speed transactional data streams
Streaming data reduction using low-memory factored representations
A scalable supervised algorithm for dimensionality reduction on streaming data
Processing count queries over event streams at multiple time granularities
A new feature extractor invariant to intensity, rotation, and scaling of color images