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

This book is a significant contribution to the subject of mining time-changing data streams and addresses the design of learning algorithms for this purpose. It

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

This book contains original, peer-reviewed research articles from the Second International Conference on Recent Trends in Machine Learning, IoT, Smart Cities an

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