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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