398 S. EDV Guter Zustand/ Good Ex-Library. Ecken besto�en, Einband hat leichte Gebrauchsspuren, vereinzelt Bleistiftanstreichungen ha1082408 Sprache: Englisch Gewicht in Gramm: 750.

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Bibliographic Details

Title

Relational Data Mining.

Publisher

Springer Berlin

Publication Date

2001

Language

English

ISBN 10

3540422897

ISBN 13

9783540422891

Binding

Hardcover/ Pappband

Condition

Wie neu

Weight

750 grams

Seller catalogs

Fachb�cher - Computer/Elektronik

About this title

Synopsis

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.

From the Back Cover

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.

"About this title" may belong to another edition of this title.

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