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

Understand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are frictionless (require minimal t

Since the beginning of the Internet age and the increased use of ubiquitous computing devices, the large volume and continuous flow of distributed data have imp

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

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