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Principles of Data Mining and Knowledge Discovery: 4th European Conference, PKDD, 2000, Lyon, France, September 13-16, 2000 Proceedings (Lecture Notes in Computer Science, 1910, Band 1910) - Softcover

 
9783540410669: Principles of Data Mining and Knowledge Discovery: 4th European Conference, PKDD, 2000, Lyon, France, September 13-16, 2000 Proceedings (Lecture Notes in Computer Science, 1910, Band 1910)
Softcover
ISBN 10: 354041066X ISBN 13: 9783540410669
Verlag: Springer, 2008

Inhaltsangabe

This volume contains papers selected for presentation at PKDD 2000, the Fourth European Conference on Principles and Practice of Knowledge Discovery in - tabases. The rst meeting was held in Trondheim, Norway, in June 1997, the second in Nantes, France, in September 1998, and the third in Prague, Czech Republic, in September 1999. PKDD 2000 was organized in Lyon, France, on 13{16 September 2000. The conference was hosted by the Equipe de Recherche en Ing enierie des Conna- sances at the Universit e Lumi ere Lyon 2. We wish to express our thanks to the sponsors of the Conference, to the University Claude Bernard Lyon 1, the INSA of Lyon, the Conseil g en eral of the R^one, the R egion Rh^one Alpes, SPSS France, AFIA, and the University of Lyon 2, for their generous support. Knowledge discovery in databases (KDD), also known as data mining, p- vides tools for turning large databases into knowledge that can be used in pr- tice. KDD has been able to grow very rapidly since its emergence a decade ago by drawing its techniques and data mining experiences from a combination of many existing research areas: databases, statistics, mathematical logic, machine learning, automated scienti c discovery, inductive logic programming, arti cial intelligence, visualization, decision science, knowledge management, and high performance computing. The strength of KDD came initially from the value - ded by the creative combination of techniques from the contributing areas.

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Von der hinteren Coverseite

This volume contains papers selected for presentation at PKDD¿2000, the Fourth European Conference on Principles and Practice of Knowledge Discovery in - tabases. The rst meeting was held in Trondheim, Norway, in June 1997, the second in Nantes, France, in September 1998, and the third in Prague, Czech Republic, in September 1999. PKDD 2000 was organized in Lyon, France, on 13{16 September 2000. The conference was hosted by the Equipe de Recherche en Ing enierie des Conna- sances at the Universit e Lumi ere Lyon 2. We wish to express our thanks to the sponsors of the Conference, to the University Claude Bernard Lyon 1, the INSA of Lyon, the Conseil g en eral of the R^one, the R egion Rh^one Alpes, SPSS France, AFIA, and the University of Lyon 2, for their generous support. Knowledge discovery in databases (KDD), also known as data mining, p- vides tools for turning large databases into knowledge that can be used in pr- tice. KDD has been able to grow very rapidly since its emergence a decade ago by drawing its techniques and data mining experiences from a combination of many existing research areas: databases, statistics, mathematical logic, machine learning, automated scienti c discovery, inductive logic programming, arti cial intelligence, visualization, decision science, knowledge management, and high performance computing. The strength of KDD came initially from the value - ded by the creative combination of techniques from the contributing areas.

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Verlag
Springer
Erscheinungsdatum
2008
Sprache
Englisch
ISBN 10 
354041066X
ISBN 13 
9783540410669
Einband
Taschenbuch
Anzahl der Seiten
716
Herausgeber
Zighed Djamel A., Komorowski Jan, Zytkow Jan
Kontakt zum Hersteller
ProductSafety@springernature.com
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