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Computer Science - Database Management & Information Retrieval | Relational Data Mining

Relational Data Mining

Dzeroski, Saso, Lavrač, Nada (Eds.)

2001, XIX, 398 p.

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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.

Content Level » Research

Keywords » Algorithmic Learning - Data Analysis - Data Mining - Inductive Logic Programming - Knowledge Discovery - Knowledge Processing - Machine Learning - Multi-Relational Data - classification - database - knowledge - learning - logic - logic programming - programming

Related subjects » Artificial Intelligence - Database Management & Information Retrieval - Image Processing - Security and Cryptology

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