This book addresses the problems of modeling, prediction, classification, data understanding and processing in non-stationary and unpredictable environments. It

This edited book covers recent advances of techniques, methods and tools treating the problem of learning from data streams generated by evolving non-stationary

A hands-on approach to tasks and techniques in data stream mining and real-time analytics, with examples in MOA, a popular freely available open-source software

Recent decades have seen rapid advances in automatization processes, supported by modern machines and computers. The result is significant increases in system c

Processing data streams has raised new research challenges over the last few years. This book provides the reader with a comprehensive overview of stream data p