Verfügbarkeit: Machine learning for data streams | Technische Universität München

Machine learning for data streams: with practical examples in MOA

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Bibliographische Detailangaben
Beteiligte Personen:	Bifet, Albert (VerfasserIn), Gavaldà, Ricard (VerfasserIn), Holmes, Geoffrey 1960- (VerfasserIn), Pfahringer, Bernhard (VerfasserIn)
Format:	Elektronisch E-Book
Sprache:	Englisch
Veröffentlicht:	Cambridge, Massachusetts ; London, England The MIT Press [2017]
Schriftenreihe:	Adaptive computation and machine learning
Schlagwörter:	Data mining Streaming technology (Telecommunications) Data Mining Datenstrom Maschinelles Lernen
Links:	https://ieeexplore.ieee.org/servlet/opac?bknumber=8327692 https://ieeexplore.ieee.org/servlet/opac?bknumber=8327692 https://doi.org/10.7551/mitpress/10654.001.0001 https://ieeexplore.ieee.org/servlet/opac?bknumber=8327692
Beschreibung:	Includes bibliographical references and index
Umfang:	1 Online-Ressource (xxi, 262 Seiten) Illustrationen
ISBN:	9780262346047
DOI:	10.7551/mitpress/10654.001.0001

Internformat

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Datensatz im Suchindex

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series2	Adaptive computation and machine learning
spellingShingle	Bifet, Albert Gavaldà, Ricard Holmes, Geoffrey 1960- Pfahringer, Bernhard Machine learning for data streams with practical examples in MOA Data mining Streaming technology (Telecommunications) Data Mining (DE-588)4428654-5 gnd Datenstrom (DE-588)4410055-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
subject_GND	(DE-588)4428654-5 (DE-588)4410055-3 (DE-588)4193754-5
title	Machine learning for data streams with practical examples in MOA
title_auth	Machine learning for data streams with practical examples in MOA
title_exact_search	Machine learning for data streams 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_short	Machine learning for data streams
title_sort	machine learning for data streams with practical examples in moa
title_sub	with practical examples in MOA
topic	Data mining Streaming technology (Telecommunications) Data Mining (DE-588)4428654-5 gnd Datenstrom (DE-588)4410055-3 gnd Maschinelles Lernen (DE-588)4193754-5 gnd
topic_facet	Data mining Streaming technology (Telecommunications) Data Mining Datenstrom Maschinelles Lernen
url	https://doi.org/10.7551/mitpress/10654.001.0001 https://ieeexplore.ieee.org/servlet/opac?bknumber=8327692
work_keys_str_mv	AT bifetalbert machinelearningfordatastreamswithpracticalexamplesinmoa AT gavaldaricard machinelearningfordatastreamswithpracticalexamplesinmoa AT holmesgeoffrey machinelearningfordatastreamswithpracticalexamplesinmoa AT pfahringerbernhard machinelearningfordatastreamswithpracticalexamplesinmoa

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