ISBN: 9780262547833 - machine learning for data streams: with practical examples in moa (adaptive computation and machine learning series) (19 Ergebnisse)

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Paperback. Zustand: New.

Zustand: New.

Zustand: New.

Zustand: As New. Unread book in perfect condition.

Zustand: New.

Paperback. Zustand: Brand New. 288 pages. 9.00x7.00x0.65 inches. In Stock.

Soft cover. Zustand: New.

Paperback. Zustand: New.

PAP. Zustand: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

PAP. Zustand: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

Zustand: New. Print on Demand.

Zustand: New. Print on Demand.

Zustand: New. PRINT ON DEMAND.

Paperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.

Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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 sourcesincluding sensor networks, financial markets, social networks, and healthcare monitoringare 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.…

Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Albert Bifet is Professor of Computer Science at T&eacutel&eacutecom ParisTech.Ricard Gavald&agrave is Professor of Computer Science at the Polit&egravecnica de Catalunya, Barcelona.Geoff Holmes is Professor and Dean of Computing at the Universi.…

Taschenbuch. Zustand: Neu. Machine Learning for Data Streams | with Practical Examples in MOA | Geoffrey Holmes (u. a.) | Taschenbuch | Englisch | 2023 | MIT Press | EAN 9780262547833 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. …