Ontological Support for Association Rule Mining

A. Bellandi, B. Furletti, V. Grossi, and A. Romei (Italy)


Data mining, Ontology, Association Rules.


This paper describes some improvements of our previous work that realizes an integrated framework for extracting constraint-based multi-level association rules with an ontology support. The ontology is not the repository of the data, but it models the application domain describing the meta-data. 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.

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