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Item Details
Title: RELATIONAL DATA MINING
By: Saso Dzeroski (Editor), Nada Lavrac (Editor)
Format: Paperback

List price: £123.00


We currently do not stock this item, please contact the publisher directly for further information.

ISBN 10: 3642076041
ISBN 13: 9783642076046
Publisher: SPRINGER-VERLAG BERLIN AND HEIDELBERG GMBH & CO. KG
Pub. date: 10 December, 2010
Edition: Softcover reprint of hardcover 1st ed. 2001
Pages: 398
Description: 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.
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.
Illustrations: 69 Tables, black and white; XIX, 398 p.
Publication: Germany
Imprint: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Returns: Returnable
Some other items by this author:
ADVANCES IN INTELLIGENT DATA ANALYSIS (PB)
ARTIFICIAL INTELLIGENCE IN MEDICINE (PB)
COMPUTATIONAL DISCOVERY OF SCIENTIFIC KNOWLEDGE (PB)
DATA MINING AND DECISION SUPPORT (HB)
DATA MINING AND DECISION SUPPORT (PB)
DISCOVERY SCIENCE (PB)
DISCOVERY SCIENCE (PB)
FOUNDATIONS OF RULE LEARNING (HB)
FOUNDATIONS OF RULE LEARNING (PB)
INDUCTIVE DATABASES AND CONSTRAINT-BASED DATA MINING (HB)
INDUCTIVE DATABASES AND CONSTRAINT-BASED DATA MINING (PB)
INDUCTIVE LOGIC PROGRAMMING (PB)
INDUCTIVE LOGIC PROGRAMMING (PB)
INDUCTIVE LOGIC PROGRAMMING (PB)
INTELLIGENT DATA ANALYSIS IN MEDICINE AND PHARMACOLOGY (PB)
KNOWLEDGE DISCOVERY IN DATABASES - PKDD 2003 (PB)
KNOWLEDGE DISCOVERY IN INDUCTIVE DATABASES (PB)
LEARNING LANGUAGE IN LOGIC (PB)
PREDICTIVE CLUSTERING (HB)
RELATIONAL DATA MINING (HB)
REPRESENTATION LEARNING
REPRESENTATION LEARNING (HB)



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