Nada (Hrsg.) Lavrac
Relational Data Mining
Buch
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 profession…
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Beschreibung
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.
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Produktdetails
Weitere Autoren: Dzeroski, Saso (Hrsg.)
- ISBN: 978-3-642-07604-6
- EAN: 9783642076046
- Produktnummer: 10703284
- Verlag: Springer Berlin Heidelberg
- Sprache: Englisch
- Erscheinungsjahr: 2010
- Seitenangabe: 420 S.
- Masse: H23.5 cm x B15.5 cm x D2.2 cm 633 g
- Auflage: Softcover reprint of hardcover 1st ed. 2001
- Abbildungen: Paperback
- Gewicht: 633
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