This paper describes some improvements of our previous work that realizes an integrated framework for extracting constraint ­based multi­level association rules with an ontology support. The ontology is not the repository of the data, but it models the application domain describing the meta­data. Furthermore, it permits to focus the analysis only on a subset of data and to express multi­ level constraints on them. In this context, we report some theoretical notion already introduced and a detailed description of the recent improvements: the introduction of the object properties in the framework, and the implementation of an user interface.

Ontological Support For Association Rule Mining

Bellandi A;Furletti B;Grossi V;
2008

Abstract

This paper describes some improvements of our previous work that realizes an integrated framework for extracting constraint ­based multi­level association rules with an ontology support. The ontology is not the repository of the data, but it models the application domain describing the meta­data. Furthermore, it permits to focus the analysis only on a subset of data and to express multi­ level constraints on them. In this context, we report some theoretical notion already introduced and a detailed description of the recent improvements: the introduction of the object properties in the framework, and the implementation of an user interface.
2008
Istituto di linguistica computazionale "Antonio Zampolli" - ILC
Istituto di Scienza e Tecnologie dell'Informazione "Alessandro Faedo" - ISTI
978-0-88986-710-9
Association Rules
Ontology
Data mining
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/265114
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