9783642237829-3642237827-Machine Learning and Knowledge Discovery in Databases, Part II: European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, Part II (Lecture Notes in Computer Science, 6912)

Machine Learning and Knowledge Discovery in Databases, Part II: European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, Part II (Lecture Notes in Computer Science, 6912)

ISBN-13: 9783642237829
ISBN-10: 3642237827
Edition: 2011
Author: Donato Malerba, Michalis Vazirgiannis, Thomas Hofmann, Dimitrios Gunopulos
Publication date: 2011
Publisher: Springer
Format: Paperback 703 pages
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Book details

ISBN-13: 9783642237829
ISBN-10: 3642237827
Edition: 2011
Author: Donato Malerba, Michalis Vazirgiannis, Thomas Hofmann, Dimitrios Gunopulos
Publication date: 2011
Publisher: Springer
Format: Paperback 703 pages

Summary

Machine Learning and Knowledge Discovery in Databases, Part II: European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, Part II (Lecture Notes in Computer Science, 6912) (ISBN-13: 9783642237829 and ISBN-10: 3642237827), written by authors Donato Malerba, Michalis Vazirgiannis, Thomas Hofmann, Dimitrios Gunopulos, was published by Springer in 2011. With an overall rating of 3.9 stars, it's a notable title among other books. You can easily purchase or rent Machine Learning and Knowledge Discovery in Databases, Part II: European Conference, ECML PKDD 2010, Athens, Greece, September 5-9, 2011, Proceedings, Part II (Lecture Notes in Computer Science, 6912) (Paperback) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

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.
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