Machine learning for data streams : : with practical examples in MOA / / Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer.

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.

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Bibliographic Details
Superior document:Adaptive computation and machine learning
VerfasserIn:
TeilnehmendeR:
Place / Publishing House:[Piscataqay, New Jersey] : : IEEE Xplore,, [2018]
Cambridge, Massachusetts ; London, England : The MIT Press, [2017]
Year of Publication:2017
Language:English
Series:Adaptive computation and machine learning
Physical Description:1 PDF (xxi, 262 pages) :; illustrations.
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Summary: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.
Bibliography:Includes bibliographical references and index.
ISBN:0262346052
Access:Restricted to subscribers or individual electronic text purchasers.
Hierarchical level:Monograph
Statement of Responsibility: Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer.