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Relational Data Mining
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Relational Data Mining

Relational Data Mining

Saso Dzeroski, Nada Lavrac

398 pages, parution le 19/10/2001

Résumé

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.

Contents

Introduction

  • Data mining in a nutshell
  • Knowledge discoverfy indatabase : an overview
  • An introduction to inductive logic programming
  • Inductive logic programming for knowledge discovery in databases
Techniques
  • Three companions for data mining in first order logic
  • Inducing classification and regression trees in first order logic
  • Relational rule induction with CProgol4.4 : a tutorial induction
  • Discovery of relational associations rules
  • Distance based approaches to relational learnijng and clustering
From propositional to relational data mining
  • How to upgrade propositional learners to first order logic : a case study
  • Propositionalization approaches to relational data mining
  • Relatioanl leraning and boosting
  • Learning probalistic relational models
Applications and web resources
  • Relational data minig applications : an overview
  • Four suggestions and a rule concerning the application of ILP
  • Internet resources on ILP for KDD
  • Index

Caractéristiques techniques

  PAPIER
Éditeur(s) Springer
Auteur(s) Saso Dzeroski, Nada Lavrac
Parution 19/10/2001
Nb. de pages 398
Format 16 x 24
Couverture Relié
Poids 710g
Intérieur Noir et Blanc
EAN13 9783540422891

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