Please use this identifier to cite or link to this item: http://hdl.handle.net/10216/74396
Author(s): Nuno A. Fonseca
Fernando Silva
Rui Camacho
Title: Strategies to parallelize ILP systems
Issue Date: 2005
Abstract: It is well known by Inductive Logic Programming (ILP) practionersthat ILP systems usually take a long time to nd valuable models(theories). The problem is specially critical for large datasets, preventingILP systems to scale up to larger applications. One approach to reducethe execution time has been the parallelization of ILP systems. In thispaper we overview the state-of-the-art on parallel ILP implementationsand present work on the evaluation of some major parallelization strategiesfor ILP. Conclusions about the applicability of each strategy arepresented.
Subject: Engenharia de computadores, Engenharia electrotécnica, electrónica e informática
Call Number: 70777
URI: http://hdl.handle.net/10216/74396
Source: 15th International Conference on Inductive Logic Programming (ILP 2005)
Document Type: Artigo em Livro de Atas de Conferência Internacional
Rights: openAccess
License: https://creativecommons.org/licenses/by-nc/4.0/
Appears in Collections:FEUP - Artigo em Livro de Atas de Conferência Internacional

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