Relational Data Mining (Paperback, Softcover reprint of hardcover 1st ed. 2001)

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.

General

Imprint:	Springer-Verlag
Country of origin:	Germany
Release date:	December 2010
First published:	2001
Editors:	Saso Dzeroski • Nada Lavrac
Dimensions:	235 x 155 x 21mm (L x W x T)
Format:	Paperback
Pages:	398
Edition:	Softcover reprint of hardcover 1st ed. 2001
ISBN-13:	978-3-642-07604-6
Categories:	Books > Computing & IT > General theory of computing > Data structures Books > Computing & IT > Computer programming > Algorithms & procedures Books > Computing & IT > Applications of computing > Pattern recognition Books > Computing & IT > Applications of computing > Databases > Data mining Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-642-07604-1
Barcode:	9783642076046

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