2012
DOI: 10.1093/comjnl/bxs057
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Semantic Subgroup Discovery Systems and Workflows in the SDM-Toolkit

Abstract: This paper addresses semantic data mining, a new data mining paradigm in which ontologies are exploited in the process of data mining and knowledge discovery. This paradigm is introduced together with new semantic subgroup discovery systems SDM-search for enriched gene sets (SEGS) and SDM-Aleph. These systems are made publicly available in the new SDM-Toolkit for semantic data mining. The toolkit is implemented in the Orange4WS data mining platform that supports knowledge discovery workflow construction from l… Show more

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Cited by 31 publications
(16 citation statements)
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“…The system was extended in the SegMine system, which allows exploratory analysis of microarray data, performed through semantic subgroup discovery by SEGS [177], followed by link discovery and visualization by Biomine [178], an integrated annotated bioinformatics information resource of interlinked data. The SEGS system was later extended to two general semantic subgroup discovery systems, SDM-SEGS and SDM-Aleph [179][180][181]. Finally, the authors introduced the Hedwig system [182], which overcomes some of the limitations of the previous systems.…”
Section: Discussionmentioning
confidence: 99%
“…The system was extended in the SegMine system, which allows exploratory analysis of microarray data, performed through semantic subgroup discovery by SEGS [177], followed by link discovery and visualization by Biomine [178], an integrated annotated bioinformatics information resource of interlinked data. The SEGS system was later extended to two general semantic subgroup discovery systems, SDM-SEGS and SDM-Aleph [179][180][181]. Finally, the authors introduced the Hedwig system [182], which overcomes some of the limitations of the previous systems.…”
Section: Discussionmentioning
confidence: 99%
“…In this paper, we employ the widely-used Aleph ILP system [15,19,21]. Aleph applies a two-step approach to learn a clause.…”
Section: Inductive Logic Programming and Alephmentioning
confidence: 99%
“…Alguns autores relatam, em seus trabalhos, como as ontologias estão sendo utilizadas para melhorar os resultados dos métodos de mineração de dados por regras de associação com a adoção de descritores semânticos (BELLANDI et al, 2007;FERRAZ, 2008;MARINICA, 2010;COUTO;SILVA, 2011;COELHO, 2012;VAVPETIC;LAVRAC, 2012;HAMANI et al, 2014;RIBEIRO, 2010).…”
Section: Mineração Por Regras De Associação Com Ontologiaunclassified