Machine learning for data streams : : with practical examples in MOA /

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:
Bifet, Albert
Gavaldà, Ricard, 1964-
Holmes, Geoff
Pfahringer, Bernhard
TeilnehmendeR:
Gavaldà, Ricard, 1964-
Holmes, Geoff
Pfahringer, Bernhard
MIT Press,
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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collection bib_alma
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spelling Bifet, Albert author.
Machine learning for data streams : with practical examples in MOA / Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer.
[Piscataqay, New Jersey] : IEEE Xplore, [2018]
Cambridge, Massachusetts ; London, England The MIT Press [2017]
1 PDF (xxi, 262 pages) : illustrations.
text rdacontent
electronic isbdmedia
online resource rdacarrier
Adaptive computation and machine learning
Restricted to subscribers or individual electronic text purchasers.
Also available in print.
Includes bibliographical references and index.
English
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.
OCLC-licensed vendor bibliographic record.
Database management.
Neural networks (Computer science)
Machine learning.
0-262-03779-3
0-262-34604-4
Gavaldà, Ricard, 1964- author.
Holmes, Geoff author.
Pfahringer, Bernhard author.
MIT Press, publisher.
language English
format eBook
author Bifet, Albert
Gavaldà, Ricard, 1964-
Holmes, Geoff
Pfahringer, Bernhard
spellingShingle Bifet, Albert
Gavaldà, Ricard, 1964-
Holmes, Geoff
Pfahringer, Bernhard
Machine learning for data streams : with practical examples in MOA /
Adaptive computation and machine learning
author_facet Bifet, Albert
Gavaldà, Ricard, 1964-
Holmes, Geoff
Pfahringer, Bernhard
Gavaldà, Ricard, 1964-
Holmes, Geoff
Pfahringer, Bernhard
MIT Press,
author_variant a b ab
r g rg
g h gh
b p bp
author_role VerfasserIn
VerfasserIn
VerfasserIn
VerfasserIn
author2 Gavaldà, Ricard, 1964-
Holmes, Geoff
Pfahringer, Bernhard
MIT Press,
author2_role TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
TeilnehmendeR
author_sort Bifet, Albert
title Machine learning for data streams : with practical examples in MOA /
title_sub with practical examples in MOA /
title_full Machine learning for data streams : with practical examples in MOA / Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer.
title_fullStr Machine learning for data streams : with practical examples in MOA / Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer.
title_full_unstemmed Machine learning for data streams : with practical examples in MOA / Albert Bifet, Ricard Gavaldà, Geoff Holmes, Bernhard Pfahringer.
title_auth Machine learning for data streams : with practical examples in MOA /
title_new Machine learning for data streams :
title_sort machine learning for data streams : with practical examples in moa /
series Adaptive computation and machine learning
series2 Adaptive computation and machine learning
publisher The MIT Press
publishDate 2017
physical 1 PDF (xxi, 262 pages) : illustrations.
Also available in print.
isbn 0-262-34605-2
0-262-03779-3
0-262-34604-4
callnumber-first Q - Science
callnumber-subject QA - Mathematics
callnumber-label QA76
callnumber-sort QA 276.9 D343 B54 42018EB
illustrated Illustrated
dewey-hundreds 000 - Computer science, information & general works
dewey-tens 000 - Computer science, knowledge & systems
dewey-ones 006 - Special computer methods
dewey-full 006.3/12
dewey-sort 16.3 212
dewey-raw 006.3/12
dewey-search 006.3/12
oclc_num 1042908181
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