Relational Data Mining

Nada Lavra¿

ISBN 10: 3540422897 / ISBN 13: 9783540422891

Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2001, 2001

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Neuware -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 first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; 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.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 420 pp. Englisch.

Codice articolo 9783540422891

Dati bibliografici

• Titolo: Relational Data Mining
• Editore: Springer Berlin Heidelberg, Springer Berlin Heidelberg Aug 2001
• Data di pubblicazione: 2001
• Lingua: Inglese
• ISBN 10: 3540422897
• ISBN 13: 9783540422891
• Rilegatura: Buch
• Condizione: Neu

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Riassunto

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 first part introduces the reader to the basics and principles of classical knowledge discovery in databases and inductive logic programming; 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.