Istituto di Scienza e Tecnologie dell'Informazione     
Bellandi A., Furletti B., Grossi V., Romei A. Ontological support for association rule mining. In: AIA'08 - 26th IASTED International Conference on Artificial Intelligence and Applications (Innsbruck, Austria, 11-13 February 2008). Proceedings, pp. 110 - 115. ACTA Press/ACM, 2008.
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.
URL: http://dl.acm.org/citation.cfm?id=1712781
Subject Association Rules
Data mining
H.2.8 Database applications. Data mining
68U99 None of the above, but in this section

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