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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245 | 1 | 0 | |a Machine learning for data streams : |b with practical examples in MOA / |c Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer. |
264 | 2 | |a [Piscataqay, New Jersey] : |b IEEE Xplore, |c [2018] | |
264 | 1 | |a Cambridge, Massachusetts ; London, England |b The MIT Press |c [2017] | |
300 | |a 1 PDF (xxi, 262 pages) : |b illustrations. | ||
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490 | 1 | |a Adaptive computation and machine learning | |
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546 | |a English | ||
520 | |a 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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700 | 1 | |a Holmes, Geoff |e author. | |
700 | 1 | |a Pfahringer, Bernhard |e author. | |
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