Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, ... 4702 (Lecture Notes in Computer Science) - Tapa blanda

9783540749752: Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, ... 4702 (Lecture Notes in Computer Science)

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ISBN 10: 3540749756 ISBN 13: 9783540749752

Editorial: Springer, 2007

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This book constitutes the refereed proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, held in Warsaw, Poland, co-located with ECML 2007, the 18th European Conference on Machine Learning. The 28 revised full papers and 35 revised short papers present original results on leading-edge subjects of knowledge discovery from conventional and complex data and address all current issues in the area.

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Editorial: Springer
A�o de publicaci�n: 2007
Idioma: Ingl�s
ISBN 10: 3540749756
ISBN 13: 9783540749752
Encuadernaci�n: Tapa blanda
N�mero de p�ginas: 668
Editor: Kok Joost N.
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Knowledge Discovery in Databases: PKDD 2007

Joost N. Kok

Publicado por Springer, Berlin, Springer Berlin Heidelberg, Springer, 2007

ISBN 10: 3540749756 ISBN 13: 9783540749752

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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania

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Taschenbuch. Condici�n: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The two premier annual European conferences in the areas of machine learning and data mining have been collocated ever since the rst joint conference in Freiburg, 2001. The European Conference on Machine Learning (ECML) traces its origins to 1986, when the rst European Working Session on Learning was held in Orsay, France. The European Conference on Principles and Practice of KnowledgeDiscoveryinDatabases(PKDD) was rstheldin1997inTrondheim, Norway. Over the years, the ECML/PKDD series has evolved into one of the largest and most selective international conferences in machine learning and data mining. In 2007, the seventh collocated ECML/PKDD took place during September 17-21 on the centralcampus of WarsawUniversityand in the nearby Staszic Palace of the Polish Academy of Sciences. The conference for the third time used a hierarchical reviewing process. We nominated 30 Area Chairs, each of them responsible for one sub- eld or several closely related research topics. Suitable areas were selected on the basis of the submission statistics for ECML/PKDD 2006 and for last year's International Conference on Machine Learning (ICML 2006) to ensure a proper load balance amongtheAreaChairs.AjointProgramCommittee(PC)wasnominatedforthe two conferences, consisting of some 300 renowned researchers, mostly proposed by the Area Chairs. This joint PC, the largest of the series to date, allowed us to exploit synergies and deal competently with topic overlaps between ECML and PKDD. ECML/PKDD 2007 received 592 abstract submissions. As in previous years, toassistthereviewersandtheAreaChairsintheir nalrecommendationauthors had the opportunity to communicate their feedback after the reviewing phase. 644 pp. Englisch. N� de ref. del art�culo: 9783540749752

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Knowledge Discovery in Databases: PKDD 2007

Kok, Joost N.|Koronacki, Jacek|Lopez de Mantaras, Ramon|Matwin, Stan|Mladenic, Dunja

Publicado por Springer Berlin Heidelberg, 2007

ISBN 10: 3540749756 ISBN 13: 9783540749752

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Condici�n: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. This book constitutes the refereed proceedings of the 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, PKDD 2007, held in Warsaw, Poland, co-located with ECML 2007, the 18th European Conference on Machine Learning. N� de ref. del art�culo: 4900106

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Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, ... (Lecture Notes in Computer Science, 4702)

Publicado por Springer, 2007

ISBN 10: 3540749756 ISBN 13: 9783540749752

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Condici�n: New. In. N� de ref. del art�culo: ria9783540749752_new

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Knowledge Discovery in Databases: PKDD 2007: 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, . / Lecture Notes in Artificial Intelligence)

Kok, Joost N. [Editor]; Koronacki, Jacek [Editor]; Lopez de Mantaras, Ramon [Editor]; Matwin, Stan [Editor]; Mladenic, Dunja [Editor];

Publicado por Springer, 2007

ISBN 10: 3540749756 ISBN 13: 9783540749752

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Paperback. Condici�n: Very Good. Ex-library paperback in very nice condition with the usual markings and attachments. N� de ref. del art�culo: UTD14a-0508

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Knowledge Discovery in Databases: PKDD 2007 : 11th European Conference on Principles and Practice of Knowledge Discovery in Databases, Warsaw, Poland, September 17-21, 2007, Proceedings

Joost N. Kok

Publicado por Springer, Berlin, Springer Berlin Heidelberg, Springer, 2007

ISBN 10: 3540749756 ISBN 13: 9783540749752

Nuevo Taschenbuch

Librería: AHA-BUCH GmbH, Einbeck, Alemania

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Taschenbuch. Condici�n: Neu. Druck auf Anfrage Neuware - Printed after ordering - The two premier annual European conferences in the areas of machine learning and data mining have been collocated ever since the rst joint conference in Freiburg, 2001. The European Conference on Machine Learning (ECML) traces its origins to 1986, when the rst European Working Session on Learning was held in Orsay, France. The European Conference on Principles and Practice of KnowledgeDiscoveryinDatabases(PKDD) was rstheldin1997inTrondheim, Norway. Over the years, the ECML/PKDD series has evolved into one of the largest and most selective international conferences in machine learning and data mining. In 2007, the seventh collocated ECML/PKDD took place during September 17-21 on the centralcampus of WarsawUniversityand in the nearby Staszic Palace of the Polish Academy of Sciences. The conference for the third time used a hierarchical reviewing process. We nominated 30 Area Chairs, each of them responsible for one sub- eld or several closely related research topics. Suitable areas were selected on the basis of the submission statistics for ECML/PKDD 2006 and for last year's International Conference on Machine Learning (ICML 2006) to ensure a proper load balance amongtheAreaChairs.AjointProgramCommittee(PC)wasnominatedforthe two conferences, consisting of some 300 renowned researchers, mostly proposed by the Area Chairs. This joint PC, the largest of the series to date, allowed us to exploit synergies and deal competently with topic overlaps between ECML and PKDD. ECML/PKDD 2007 received 592 abstract submissions. As in previous years, toassistthereviewersandtheAreaChairsintheir nalrecommendationauthors had the opportunity to communicate their feedback after the reviewing phase. N� de ref. del art�culo: 9783540749752

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