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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Superior document: | Adaptive computation and machine learning |
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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
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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. |
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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. |