Machine Learning and Knowledge Discovery in Databases

European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I
Autor: Annalisa (Hrsg.) Appice
CHF 70.00
ISBN: 978-3-319-23527-1
Einband: Kartonierter Einband (Kt)
Verfügbarkeit: Lieferbar in ca. 20-45 Arbeitstagen
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The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, and 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.

The three volume set LNAI 9284, 9285, and 9286 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2015, held in Porto, Portugal, in September 2015. The 131 papers presented in these proceedings were carefully reviewed and selected from a total of 483 submissions. These include 89 research papers, 11 industrial papers, 14 nectar papers, and 17 demo papers. They were organized in topical sections named: classification, regression and supervised learning; clustering and unsupervised learning; data preprocessing; data streams and online learning; deep learning; distance and metric learning; large scale learning and big data; matrix and tensor analysis; pattern and sequence mining; preference learning and label ranking; probabilistic, statistical, and graphical approaches; rich data; and social and graphs. Part III is structured in industrial track, nectar track, and demo track.

Autor Annalisa (Hrsg.) Appice
Verlag Springer EN
Einband Kartonierter Einband (Kt)
Erscheinungsjahr 2015
Seitenangabe 709 S.
Ausgabekennzeichen Englisch
Abbildungen LVIII, 709 p. 160 illus., schwarz-weiss Illustrationen
Masse H23.5 cm x B15.5 cm 11'518 g
Coverlag Springer (Imprint/Brand)
Auflage 1st ed. 2015
Reihe Lecture Notes in Computer Science; Lecture Notes in Artificial Intelligence
Verlagsartikelnummer 86462090

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