Machine Learning and Knowledge Discovery in Databases

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European Conference, Antwerp, Belgium, September 15-19,2008, Proceedings, Part I, Lecture Notes in Computer Science 5211 – Lecture Notes in Artificial Intelligence

ISBN: 354087478X
ISBN 13: 9783540874782
Herausgeber: Walter Daelemans/Katharina Morik
Verlag: Springer Verlag GmbH
Umfang: xxiv, 692 S.
Erscheinungsdatum: 04.09.2008
Auflage: 1/2008
Produktform: Kartoniert
Einband: Kartoniert

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

Artikelnummer: 5023327 Kategorie:

Beschreibung

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.

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E-Mail: juergen.hartmann@springer.com

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