Logical and Relational Learning edited by Luc De Raedt.

Logical and Relational Learning

This textbook covers logical and relational learning in depth, and hence provides an introduction to inductive logic programming (ILP), multirelational data mining (MRDM) and (statistical) relational learning (SRL). These subfields of data mining and machine learning are concerned with the analysis...

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Bibliographic Details
Main Author: Raedt, Luc de, 1964-
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
Series:Cognitive technologies.
Subjects:
Computer science.
Database management.
Data mining.
Information storage and retrieval systems.
Artificial intelligence.
Online Access: Full text (Wentworth users only).
Table of Contents:
  • Introduction
  • An Introduction to Logic
  • An Introduction to Learning and Search
  • Representations for Mining and Learning
  • Generality and Logical Entailment
  • The Upgrading Story
  • Inducing Theories
  • Probabilistic Logic Learning
  • Kernels and Distances for Structured Data
  • Computational Aspects of Logical and Relational Learning
  • Conclusions
  • References
  • Author Index
  • Subject Index.

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