Inductive Logic Programming - Techniques and Applications [URL's no longer available]

Inductive Logic Programming - Techniques and Applications [URL's no longer available]

Covers empirical inductive logic programming, one of the two major subfields of ILP, which has its application potential in knowledge acquisition, inductive program synthesis, inductive data engineering, and knowledge discovery in databases.

Publication date: 31 Dec 1994

ISBN-10: n/a

ISBN-13: n/a

Paperback: n/a

Views: 18,373

Publisher: n/a

License: n/a

Post time: 18 Nov 2006 08:04:07

Inductive Logic Programming - Techniques and Applications [URL's no longer available]

Inductive Logic Programming - Techniques and Applications [URL's no longer available] Covers empirical inductive logic programming, one of the two major subfields of ILP, which has its application potential in knowledge acquisition, inductive program synthesis, inductive data engineering, and knowledge discovery in databases.
Tag(s): Logic Programming
Publication date: 31 Dec 1994
ISBN-10: n/a
ISBN-13: n/a
Paperback: n/a
Views: 18,373
Publisher: n/a
License: n/a
Post time: 18 Nov 2006 08:04:07

Book Excerpts:

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 covers empirical inductive logic programming, one of the two major subfields of ILP, which has 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.

Intended Audience:

The book is intended for knowledge engineers concerned with the automatic synthesis of knowledge bases for expert systems, software engineers who could profit from inductive programming tools, researchers in system development and database methodology, interested in techniques for knowledge discovery in databases and inductive data engineering, and researchers and graduates in artificial intelligence, machine learning, logic programming, software engineering and database methodology.
 




About The Author(s)


Sašo Džeroski is a Professor at Jozef Stefan International Postgraduate School, Slovenia. His research interests include data mining / machine learning and their applications in environmental sciences (ecological modeling, systems ecology), language resources and technologies, life sciences (bioinformatics, systems biology) and medicine (diagnostics and prognostics).

Sašo Džeroski

Sašo Džeroski is a Professor at Jozef Stefan International Postgraduate School, Slovenia. His research interests include data mining / machine learning and their applications in environmental sciences (ecological modeling, systems ecology), language resources and technologies, life sciences (bioinformatics, systems biology) and medicine (diagnostics and prognostics).


Nada Lavrac is Head of Department of Knowledge Technologies, Jožef Stefan Institute and part time Professor at University of Nova Gorica, Slovenia. Her research interests are machine learning, data mining, inductive logic programming, applications in medicine, public health, bioinformatics and management of virtual enterprises.
 

Nada Lavrac

Nada Lavrac is Head of Department of Knowledge Technologies, Jožef Stefan Institute and part time Professor at University of Nova Gorica, Slovenia. Her research interests are machine learning, data mining, inductive logic programming, applications in medicine, public health, bioinformatics and management of virtual enterprises.
 



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