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Relational Data Mining / Edition 1
     

Relational Data Mining / Edition 1

by Saso Dzeroski, Nada Lavrac
 

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ISBN-10: 3540422897

ISBN-13: 9783540422891

Pub. Date: 08/01/2001

Publisher: Springer Berlin Heidelberg

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

Overview

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.

Product Details

ISBN-13:
9783540422891
Publisher:
Springer Berlin Heidelberg
Publication date:
08/01/2001
Edition description:
2001
Pages:
398
Product dimensions:
6.10(w) x 9.25(h) x 0.04(d)

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