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Machine learning and knowledge discovery in databases : European Conference, ECML PKDD 2011, Athens, Greece, September 5-9, 2011, Proceedings. Part II / Dimitrios Gunopulos [and others] (eds.).

By: ECML PKDD (Conference) (2011 : Athens, Greece)Contributor(s): Gunopulos, Dimitrios, 1967-Material type: TextTextSeries: Serienbezeichnung | Lecture notes in computer science. Lecture notes in artificial intelligence ; ; 6912. | Lecture notes in computer science | LNCS sublibrary. SL 7, Artificial intelligence.Publication details: Heidelberg ; New York : Springer, ©2011. Description: 1 online resource (xxii, 681 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9783642237836; 3642237835Subject(s): Machine learning -- Congresses | Data mining -- Congresses | Databases -- Congresses | Data mining | Databases | Machine learningGenre/Form: Electronic books. | Conference papers and proceedings. Additional physical formats: Printed edition:: No titleDDC classification: 006.3/1 LOC classification: Q325.5 | .E26 2011Online resources: Click here to access online 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.
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Includes bibliographical references and author index.

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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