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  • × theme_ss:"Data Mining"
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  1. Handbuch Web Mining im Marketing : Konzepte, Systeme, Fallstudien (2002) 0.02
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    Editor
    Hippner, H. et al.
    Language
    d
  2. KDD : techniques and applications (1998) 0.01
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    Footnote
    A special issue of selected papers from the Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD'97), held Singapore, 22-23 Feb 1997
  3. Medien-Informationsmanagement : Archivarische, dokumentarische, betriebswirtschaftliche, rechtliche und Berufsbild-Aspekte ; [Frühjahrstagung der Fachgruppe 7 im Jahr 2000 in Weimar und Folgetagung 2001 in Köln] (2003) 0.01
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    Date
    11. 5.2008 19:49:22
    Language
    d
  4. Data Mining im praktischen Einsatz : Verfahren und Anwendungsfälle für Marketing, Vertrieb, Controlling und Kundenunterstützung (2000) 0.00
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  5. Data mining : Theoretische Aspekte und Anwendungen (1998) 0.00
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  6. Analytische Informationssysteme : Data Warehouse, On-Line Analytical Processing, Data Mining (1998) 0.00
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  7. Analytische Informationssysteme : Data Warehouse, On-Line Analytical Processing, Data Mining (1999) 0.00
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  8. Information visualization in data mining and knowledge discovery (2002) 0.00
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    Date
    23. 3.2008 19:10:22
  9. Relational data mining (2001) 0.00
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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.