Strategies to parallelize ILP systems

• Type: Article in International Scientific Journal
• Date: 2005

Authors

Fonseca, NA (Author) FCUP; Silva, F (Author) FCUP; Camacho, R (Author) FEUP

Indexing

ISI Web of Knowledge - 11 Citations

Scopus - 17 Citations

Scientific classification

FOS: Natural sciences > Computer and information sciences

Other information

Authenticus ID: P-000-5XC

DOI: 10.1007/11536314_9

Abstract (EN): It is well known by Inductive Logic Programming (ILP) practioners that ILP systems usually take a long time to find valuable models (theories). The problem is specially critical for large datasets, preventing ILP systems to scale up to larger applications. One approach to reduce the execution time has been the parallelization of ILP systems. In this paper we overview the state-of-the-art on parallel ILP implementations and present work on the evaluation of some major parallelization strategies for ILP. Conclusions about the applicability of each strategy are presented.

Language: English

Type (Professor's evaluation): Scientific

No. of pages: 18