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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. Lusti, M.: Data Warehousing and Data Mining : Eine Einführung in entscheidungsunterstützende Systeme (1999) 0.02
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    Date
    17. 7.2002 19:22:06
    Language
    d
  3. Witten, I.H.; Frank, E.: Data Mining : Praktische Werkzeuge und Techniken für das maschinelle Lernen (2000) 0.02
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    Footnote
    Rez. in: nfd 52(2001), H.7, S.427-428 (T. Mandl)
    Language
    d
  4. Lackes, R.; Tillmanns, C.: Data Mining für die Unternehmenspraxis : Entscheidungshilfen und Fallstudien mit führenden Softwarelösungen (2006) 0.02
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    Date
    22. 3.2008 14:46:06
    Language
    d
  5. 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
  6. Data Mining im praktischen Einsatz : Verfahren und Anwendungsfälle für Marketing, Vertrieb, Controlling und Kundenunterstützung (2000) 0.00
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    Language
    d
  7. Cios, K.J.; Pedrycz, W.; Swiniarksi, R.: Data mining methods for knowledge discovery (1998) 0.00
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    Footnote
    Rez. in: Journal of end user computing 12(2000) no.3, S.50 (D. Mitchell)
  8. Ester, M.; Sander, J.: Knowledge discovery in databases : Techniken und Anwendungen (2000) 0.00
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    d
  9. Analytische Informationssysteme : Data Warehouse, On-Line Analytical Processing, Data Mining (1998) 0.00
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  10. Analytische Informationssysteme : Data Warehouse, On-Line Analytical Processing, Data Mining (1999) 0.00
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    d
  11. Information visualization in data mining and knowledge discovery (2002) 0.00
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    Date
    23. 3.2008 19:10:22
  12. 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.

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