Hierarchical interestingness measures for association rules with generalization on both antecedent and consequent sides

Benites, Fernando; Sapozhnikova, Elena

Hierarchical interestingness measures for association rules with generalization on both antecedent and consequent sides

Dateien

Zu diesem Dokument gibt es keine Dateien.

Datum

2015

Autor:innen

Benites, Fernando

Sapozhnikova, Elena

DOI (zitierfähiger Link)

https://doi.org/10.1016/j.patrec.2015.07.027

Projekt

DAMIART

Sammlungen

Informatik und Informationswissenschaft

Publikationstyp

Zeitschriftenartikel

Publikationsstatus

Published

Erschienen in

Pattern Recognition Letters. 2015, 65, pp. 197-203. ISSN 0167-8655. eISSN 1872-7344. Available under: doi: 10.1016/j.patrec.2015.07.027

Zusammenfassung

Abstract Pairwise generalized association rules mined from raw data can be used to connect the concepts of multiple ontologies. In this case the items of rules are hierarchically organized and one can use the relations between them in order to reduce rule redundancy. Recently proposed hierarchical interestingness measures address this issue, taking hierarchical information on the antecedent side into account. In this paper, we extend them to the case of considering two hierarchies on both the antecedent and the consequent sides of a rule. The extended measures are then compared with their counterparts as well as with conventional ones. Three real world datasets from the text mining domain with predefined ground truth sets of associations are used for comparison within the framework of instance-based ontology mapping.

Fachgebiet (DDC)

004 Informatik

Schlagwörter

Ontology matching; Association Rules; Data Mining; Interestingness Measures

Zitieren

ISO 690

BENITES, Fernando, Elena SAPOZHNIKOVA, 2015. Hierarchical interestingness measures for association rules with generalization on both antecedent and consequent sides. In: Pattern Recognition Letters. 2015, 65, pp. 197-203. ISSN 0167-8655. eISSN 1872-7344. Available under: doi: 10.1016/j.patrec.2015.07.027

BibTex

@article{Benites2015Hiera-31863,
  year={2015},
  doi={10.1016/j.patrec.2015.07.027},
  title={Hierarchical interestingness measures for association rules with generalization on both antecedent and consequent sides},
  volume={65},
  issn={0167-8655},
  journal={Pattern Recognition Letters},
  pages={197--203},
  author={Benites, Fernando and Sapozhnikova, Elena}
}

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