|Machine Learning for Data Streams (MIT Press)|
|Wednesday, 27 June 2018|
This book looks at how to work with data streams where information arrives sequentially and at high speed. Authors Albert Bifet, Ricard Gavaldà, Geoff Holmes and Bernhard Pfahringer present algorithms and techniques used in data stream mining and real-time analytics. Taking a hands-on approach, the book demonstrates the techniques using MOA (Massive Online Analysis), a popular, freely available open-source software framework, allowing readers to try out the techniques after reading the explanations.
Authors: Albert Bifet, Ricard Gavaldà, Geoff Holmes and Bernhard Pfahringer
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