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Lusti, M.: Data Warehousing and Data Mining : Eine Einführung in entscheidungsunterstützende Systeme (1999)
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Lackes, R.; Tillmanns, C.: Data Mining für die Unternehmenspraxis : Entscheidungshilfen und Fallstudien mit führenden Softwarelösungen (2006)
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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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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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Cios, K.J.; Pedrycz, W.; Swiniarksi, R.: Data mining methods for knowledge discovery (1998)
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- Footnote
- Rez. in: Journal of end user computing 12(2000) no.3, S.50 (D. Mitchell)
-
Witten, I.H.; Frank, E.: Data Mining : Praktische Werkzeuge und Techniken für das maschinelle Lernen (2000)
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Ester, M.; Sander, J.: Knowledge discovery in databases : Techniken und Anwendungen (2000)
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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.
