Machine Learning and Knowledge Discovery in Databases

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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.


Includes supplementary material: sn.pub/extras

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783319235271
    • Genre Information Technology
    • Auflage 1st edition 2015
    • Editor Annalisa Appice, Pedro Pereira Rodrigues, Alípio Jorge, Carlos Soares, João Gama, Vítor Santos Costa
    • Lesemotiv Verstehen
    • Anzahl Seiten 768
    • Größe H235mm x B155mm x T41mm
    • Jahr 2015
    • EAN 9783319235271
    • Format Kartonierter Einband
    • ISBN 3319235273
    • Veröffentlichung 12.09.2015
    • Titel Machine Learning and Knowledge Discovery in Databases
    • Untertitel European Conference, ECML PKDD 2015, Porto, Portugal, September 7-11, 2015, Proceedings, Part I
    • Gewicht 1142g
    • Herausgeber Springer International Publishing
    • Sprache Englisch

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