Strategies to parallelize ILP systems

Detalhes bibliográficos
Autor(a) principal: Nuno A. Fonseca
Data de Publicação: 2005
Outros Autores: Fernando Silva, Rui Camacho
Tipo de documento: Livro
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: https://hdl.handle.net/10216/74396
Resumo: It is well known by Inductive Logic Programming (ILP) practioners that ILP systems usually take a long time to nd 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.
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spelling Strategies to parallelize ILP systemsEngenharia de computadores, Engenharia electrotécnica, electrónica e informáticaComputer engineering, Electrical engineering, Electronic engineering, Information engineeringIt is well known by Inductive Logic Programming (ILP) practioners that ILP systems usually take a long time to nd 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.20052005-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/bookapplication/pdfhttps://hdl.handle.net/10216/74396engNuno A. FonsecaFernando SilvaRui Camachoinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T14:23:38Zoai:repositorio-aberto.up.pt:10216/74396Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-20T00:00:20.901276Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Strategies to parallelize ILP systems
title Strategies to parallelize ILP systems
spellingShingle Strategies to parallelize ILP systems
Nuno A. Fonseca
Engenharia de computadores, Engenharia electrotécnica, electrónica e informática
Computer engineering, Electrical engineering, Electronic engineering, Information engineering
title_short Strategies to parallelize ILP systems
title_full Strategies to parallelize ILP systems
title_fullStr Strategies to parallelize ILP systems
title_full_unstemmed Strategies to parallelize ILP systems
title_sort Strategies to parallelize ILP systems
author Nuno A. Fonseca
author_facet Nuno A. Fonseca
Fernando Silva
Rui Camacho
author_role author
author2 Fernando Silva
Rui Camacho
author2_role author
author
dc.contributor.author.fl_str_mv Nuno A. Fonseca
Fernando Silva
Rui Camacho
dc.subject.por.fl_str_mv Engenharia de computadores, Engenharia electrotécnica, electrónica e informática
Computer engineering, Electrical engineering, Electronic engineering, Information engineering
topic Engenharia de computadores, Engenharia electrotécnica, electrónica e informática
Computer engineering, Electrical engineering, Electronic engineering, Information engineering
description It is well known by Inductive Logic Programming (ILP) practioners that ILP systems usually take a long time to nd 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.
publishDate 2005
dc.date.none.fl_str_mv 2005
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