Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/74815
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dc.creatorNuno A. Fonseca
dc.creatorFernando Silva
dc.creatorVitor Santos Costa
dc.creatorRui Camacho
dc.date.accessioned2019-02-05T07:23:55Z-
dc.date.available2019-02-05T07:23:55Z-
dc.date.issued2006
dc.identifier.othersigarra:70778
dc.identifier.urihttps://repositorio-aberto.up.pt/handle/10216/74815-
dc.description.abstractThe amount of data collected and stored in databases is growing considerably for almost all areas of human activity. Processing this amount of data is very expensive, both humanly and computationally. This justifies the increased interest both on the automatic discovery of useful knowledge from databases, and on using parallel processing for this task. Multi Relational Data Mining (MRDM) techniques, such as Inductive Logic Programming (ILP), can learn rules from relational databases consisting of multiple tables. However current ILP systems are designed to run in main memory and can have long running times. We propose a pipelined data-parallel algorithm for ILP. The algorithm was implemented and evaluated on a commodity PC cluster with 8 processors. The results show that our algorithm yields excellent speedups, while preserving the quality of learning.
dc.language.isoeng
dc.relation.ispartof2005 IEEE INTERNATIONAL CONFERENCE ON CLUSTER COMPUTING (CLUSTER)
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/
dc.subjectCiências da computação e da informação
dc.subjectComputer and information sciences
dc.titleA pipelined data-parallel algorithm for ILP
dc.typeArtigo em Livro de Atas de Conferência Internacional
dc.contributor.uportoFaculdade de Engenharia
dc.contributor.uportoFaculdade de Ciências
dc.identifier.doi10.1109/clustr.2005.347059
dc.identifier.authenticusP-004-QYS
dc.subject.fosCiências exactas e naturais::Ciências da computação e da informação
dc.subject.fosNatural sciences::Computer and information sciences
Appears in Collections:FCUP - Artigo em Livro de Atas de Conferência Internacional
FEUP - Artigo em Livro de Atas de Conferência Internacional

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