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Classification, automation, and new media : Proceedings of the 24th Annual Conference of the Gesellschaft für Klassifikation e.V., University of Passau, March 15 - 17, 2000 (2002)
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- RSWK
- Datenanalyse / Kongress / Passau <2000>
Automatische Klassifikation / Kongress / Passau <2000>
Data Mining / Kongress / Passau <2000>
World Wide Web / Wissensorganisation / Kongress / Passau <2000>
- Subject
- Datenanalyse / Kongress / Passau <2000>
Automatische Klassifikation / Kongress / Passau <2000>
Data Mining / Kongress / Passau <2000>
World Wide Web / Wissensorganisation / Kongress / Passau <2000>
-
Medien-Informationsmanagement : Archivarische, dokumentarische, betriebswirtschaftliche, rechtliche und Berufsbild-Aspekte ; [Frühjahrstagung der Fachgruppe 7 im Jahr 2000 in Weimar und Folgetagung 2001 in Köln] (2003)
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- Date
- 11. 5.2008 19:49:22
- Language
- d
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Handbuch Web Mining im Marketing : Konzepte, Systeme, Fallstudien (2002)
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Data Mining im praktischen Einsatz : Verfahren und Anwendungsfälle für Marketing, Vertrieb, Controlling und Kundenunterstützung (2000)
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- Language
- d
-
Analytische Informationssysteme : Data Warehouse, On-Line Analytical Processing, Data Mining (1998)
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Analytische Informationssysteme : Data Warehouse, On-Line Analytical Processing, Data Mining (1999)
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Information visualization in data mining and knowledge discovery (2002)
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- Date
- 23. 3.2008 19:10:22
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Relational data mining (2001)
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- Abstract
- As the first book devoted to relational data mining, this coherently written multi-author monograph provides a thorough introduction and systematic overview of the area. The ferst part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programmeng; subsequent chapters by leading experts assess the techniques in relational data mining in a principled and comprehensive way; finally, three chapters deal with advanced applications in various fields and refer the reader to resources for relational data mining. This book will become a valuable source of reference for R&D professionals active in relational data mining. Students as well as IT professionals and ambitioned practitioners interested in learning about relational data mining will appreciate the book as a useful text and gentle introduction to this exciting new field.
