Logical and Relational Learning

• Corporate Author: SpringerLink (Online service)
• Other Authors: Raedt, Luc De (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg, 2008.
• Series: Cognitive Technologies,
• Subjects: Computer science.; Software engineering.; Database management.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Computer Science.; Software Engineering/Programming and Operating Systems.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Database Management.; Information Storage and Retrieval.; Information Systems Applications (incl. Internet).

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...

Table of Contents:

• 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
• Lessons Learned.