• Title: Inductive Logic Programming: Techniques and Applications
• Author(s) Nada Lavrac and Saso Dzeroski
• Publisher: Ellis Horwood, New York, 1994
• Hardcover/Paperback: 400 pages
• eBook: PDF
• Language: English
• ISBN-10: 0134578708
• ISBN-13: 978-0134578705
• Share This:  

Book Description

This book is an introduction to inductive logic programming (ILP), a research field at the intersection of machine learning and Logic Programming, which aims at a formal framework as well as practical algorithms for inductively learning relational descriptions in the form of logic programs.

The book extensively covers empirical inductive logic programming, one of the two major subfields of ILP, which has already shown its application potential in the following areas: knowledge acquisition, inductive program synthesis, inductive data engineering, and knowledge discovery in databases.

The book provides the reader with an in-depth understanding of empirical ILP techniques and applications. It is divided into four parts. Part I is an introduction to the field of ILP. Part II describes in detail empirical ILP techniques and systems. Part III presents the techniques of handling imperfect data in ILP, whereas Part IV gives an overview of empirical ILP applications.

• N/A

• Amazon

• Artificial Intelligence and Logic Programming
• Machine Learning
• Mathematical Logic - Set Theory, Model Theory, Proof Theory, Computability, etc.
• Prolog Programming
• LISP and Common LISP Programming

• Inductive Logic Programming: Techniques and Applications (Nada Lavrac, et al)
• The Mirror Site (1) - PDF
• Inductive Logic Programming at 30: a New Introduction (Andrew Cropper, et al)

• Mathematical Aspects of Logic Programming Semantics (Pascal Hitzler, et al)
• Simply Logical: Intelligent Reasoning by Example (Peter Flach)