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Book 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.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.

Book details

Book category Books in English Computing & information technology Computer science Artificial intelligence

• Full title: Relational Data Mining
• Author: Saso Dzeroski, Nada Lavrac
• Language: English
• Binding: Paperback
• Number of pages: 398
• EAN: 9783642076046
• ISBN: 3642076041
• ID: 01652721
• Publisher: Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
• Weight: 633 g
• Dimensions: 235 × 156 × 23 mm
• Date of publishing: 10. December 2010

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