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OverviewA 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 framework. 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 framework. Today many information sources-including sensor networks, financial markets, social networks, and healthcare monitoring-are so-called data streams, arriving sequentially and at high speed. Analysis must take place in real time, with partial data and without the capacity to store the entire data set. This book presents 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. The book first offers a brief introduction to the topic, covering big data mining, basic methodologies for mining data streams, and a simple example of MOA. More detailed discussions follow, with chapters on sketching techniques, change, classification, ensemble methods, regression, clustering, and frequent pattern mining. Most of these chapters include exercises, an MOA-based lab session, or both. Finally, the book discusses the MOA software, covering the MOA graphical user interface, the command line, use of its API, and the development of new methods within MOA. The book will be an essential reference for readers who want to use data stream mining as a tool, researchers in innovation or data stream mining, and programmers who want to create new algorithms for MOA. Full Product DetailsAuthor: Albert Bifet , Ricard Gavalda , Geoffrey Holmes , Bernhard PfahringerPublisher: MIT Press Ltd Imprint: MIT Press Weight: 0.369kg ISBN: 9780262547833ISBN 10: 026254783 Pages: 288 Publication Date: 09 May 2023 Audience: General/trade , General Format: Paperback Publisher's Status: Active Availability: Manufactured on demand We will order this item for you from a manufactured on demand supplier. Table of ContentsReviewsAuthor InformationAlbert Bifet is Professor of Computer Science at Telecom ParisTech. Ricard Gavald is Professor of Computer Science at the Polit cnica de Catalunya, Barcelona. Geoff Holmes is Professor and Dean of Computing at the University of Waikato in Hamilton, New Zealand. Bernhard Pfahringer is Professor of Computer Science at the University of Auckland, New Zealand. Tab Content 6Author Website:Countries AvailableAll regions |