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Relational and Semantic Data Mining for Biomedical Research
Published on Nov 16, 20122978 Views
The paper first outlines subgroup discovery and selected relational data mining approaches, with the emphasis on propositionalization and relational subgroup discovery, which prove to be effective fo
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Relational and Semantic Data Mining for Biomedical Research00:00
Overview (1)01:17
Overview (2)01:36
RSD = Relational Subgroup Discovery01:54
RSD: Propositionalization approach to relational data mining (1)02:02
RSD: Propositionalization approach to relational data mining (2)02:26
Relational subgroup discovery with RSD03:12
Domain ontologies as background knowledge SEGS: Search for Enriched Gene Sets03:51
Gene Ontology (GO)03:59
Semantic subgroup discovery with SEGS04:31
SegMine: SEGS + Biomine05:56
BioMine (Toivonnen et al.)06:02
SegMine: SEGS + Biomine06:46
Semantic Data Mining: SDM-SEGS and SDM-Aleph07:53
SDM task definition used in our work07:54
From SEGS to SDM-SEGS08:45
SDM-Aleph08:56
Implementations09:09
Summary: Relational and Semantic DM in Context09:30
Future work10:10