Machine Learning and Knowledge Discovery in Databases, Part III false
By:Dimitrios Gunopulos,Thomas Hofmann,Donato Malerba,Michalis Vazirgiannis
Published on 2011-09-06 by Springer Science & Business Media
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.
This Book was ranked at 29 by Google Books for keyword Machine Learning.
Book ID of Machine Learning and Knowledge Discovery in Databases, Part III's Books is n1glLVGpC_cC, Book which was written byDimitrios Gunopulos,Thomas Hofmann,Donato Malerba,Michalis Vazirgiannishave ETAG "jtK+SNx9+G0"
Book which was published by Springer Science & Business Media since 2011-09-06 have ISBNs, ISBN 13 Code is 9783642238079 and ISBN 10 Code is 3642238076
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Book which have "663 Pages" is Printed at BOOK under CategoryComputers
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Machine Learning and Knowledge Discovery in Databases, Part III -Dimitrios Gunopulos,Thomas Hofmann,Donato Malerba,Michalis Vazirgiannis- 9783642238079
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