Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, Part I /

This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invite...

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Corporate Author: SpringerLink (Online service)
Other Authors: Gunopulos, Dimitrios (Editor, http://id.loc.gov/vocabulary/relators/edt), Gunopulos, Dimitrios, 1967- (Editor, http://id.loc.gov/vocabulary/relators/edt), Hofmann, Thomas (Editor, http://id.loc.gov/vocabulary/relators/edt), Malerba, Donato (Editor, http://id.loc.gov/vocabulary/relators/edt), Vazirgiannis, Michalis (Editor, http://id.loc.gov/vocabulary/relators/edt)
Format: Book
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2011
Edition:1st ed. 2011
Series:Computer Science (Springer-11645)
Computer Science (SpringerNature-11645)
Lecture notes in computer science Lecture notes in artificial intelligence ; 6911.
Lecture notes in computer science Lecture notes in artificial intelligence 6911
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Summary:This three-volume set LNAI 6911, LNAI 6912, and LNAI 6913 constitutes the refereed proceedings of the European conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2011, held in Athens, Greece, in September 2011. The 121 revised full papers presented together with 10 invited talks and 11 demos in the three volumes, were carefully reviewed and selected from about 600 paper submissions. The papers address all areas related to machine learning and knowledge discovery in databases as well as other innovative application domains such as supervised and unsupervised learning with some innovative contributions in fundamental issues; dimensionality reduction, distance and similarity learning, model learning and matrix/tensor analysis; graph mining, graphical models, hidden markov models, kernel methods, active and ensemble learning, semi-supervised and transductive learning, mining sparse representations, model learning, inductive logic programming, and statistical learning. a significant part of the papers covers novel and timely applications of data mining and machine learning in industrial domains
Physical Description:1 online resource (XXX, 649 pages)
ISBN:978-3-642-23780-5
9783642237805
ISSN:2945-9141 ;
Access:Restricted for use by site license
Restricted for use by site license.