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Cited by 12 publications
(16 citation statements)
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“…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. The findings of this series of work have been concluded in [183,184].…”
Section: Discussionmentioning
confidence: 99%
“…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. The findings of this series of work have been concluded in [183,184].…”
Section: Discussionmentioning
confidence: 99%
“…Semantic subgroup discovery (SSD) (Langohr et al 2012;Vavpetič et al 2013) is a field of subgroup discovery, which uses ontologies as background knowledge in the subgroup discovery process, aimed at inducing rules from classification data, where class labels denote the groups for which descriptive rules are to be learned. In semantic subgroup discovery, ontologies are used to guide the rule learning process.…”
Section: Semantic Subgroup Discoverymentioning
confidence: 99%
“…In semantic subgroup discovery, ontologies are used to guide the rule learning process. For example, the Hedwig algorithm (Adhikari et al 2016;Vavpetič et al 2013) accepts as input a set of class labeled training instances, one or several domain ontologies, and the mappings of instances to the relevant ontology terms. Rule learning is guided by the hierarchical relations between the considered ontology terms.…”
Section: Semantic Subgroup Discoverymentioning
confidence: 99%
See 1 more Smart Citation
“…The generic problem of Semantic Data Mining has been defined in [16,18]: given a set of objects annotated with ontology terms, the goal is to find hypothesis, expressed by domain ontology terms, explaining the given empirical data. Specifically in [15,18,19], the Semantic Subgroup Discovery problem is studied: given a dataset where each object is annotated with ontology terms and belongs to a specific class, the goal is to find a conjunction of ontology terms (a conjunctive rule) that corresponds to a set of object discriminating a specific class. To evaluate the discriminativity of a conjunctive rule, these approaches mainly use the wW RAcc heuristic based on the W RAcc 1 measure.…”
Section: Related Workmentioning
confidence: 99%