Relational Data Mining

Relational Data Mining edited by Saso Dzeroski, Nada Lavrač.

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 logi...

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Bibliographic Details
Corporate Author: SpringerLink (Online service)
Other Authors: Dzeroski, Saso (Editor), Lavrač, Nada (Editor)
Format: eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2001.
Edition:1st ed. 2001.
Series:Springer eBook Collection.
Subjects:
Data mining.
Artificial intelligence.
Data structures (Computer science).
Database management.
Pattern recognition.
Information storage and retrieval.
Electronic resources (E-books)
Online Access:Click to view e-book
Holy Cross Note:Loaded electronically.
Electronic access restricted to members of the Holy Cross Community.
Description
Summary: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.
Physical Description:XIX, 398 p. online resource.
ISBN:9783662045992
DOI:10.1007/978-3-662-04599-2

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