Amvik eBook Solutions

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

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

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

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