On avoiding redundancy in inductive logic programming

• Type: Article in International Conference Proceedings Book
• Date: 2004

Authors

Nuno Fonseca (Author) Other; Vítor S. Costa (Author) Other; Fernando Silva (Author) Other; Rui Camacho (Author) FEUP

Conference proceedings International

Title: 14th International Conference on Inductive Logic Programming (ILP 2004)

Pages: 132-146

14th International Conference on Inductive Logic Programming (ILP 2004)

Porto, Portugal, 6 a 8 de Setembro de 2004

Indexing

ISI Web of Science

Scopus

INSPEC

Scientific classification

FOS: Engineering and technology > Electrical engineering, Electronic engineering, Information engineering

CORDIS: Technological sciences > Engineering > Knowledge engineering

Other information

DOI: 10.1007/978-3-540-30109-7_13

Abstract (EN): ILP systems induce rst-order clausal theories performing a search through very large hypotheses spaces containing redundant hypotheses. The generation of redundant hypotheses may prevent the systems from nding good models and increases the time to induce them. In this paper we propose a classication of hypotheses redundancy and show how expert knowledge can be provided to an ILP system to avoid it. Experimental results show that the number of hypotheses generated and execution time are reduced when expert knowledge is used to avoid redundancy.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 15