2008
Conference article  Restricted

Ontological Support For Association Rule Mining

Bellandi A., Furletti B., Grossi V., Romei A.

Association Rules  Ontology  Data mining 

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.

Source: 26th IASTED International Conference on Artificial Intelligence and Applications, 2008, pp. 110–115, Innsbruck, Austria, 11-13 February 2008

Publisher: Acta Press , Anaheim, USA



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BibTeX entry
@inproceedings{oai:it.cnr:prodotti:272220,
	title = {Ontological Support For Association Rule Mining},
	author = {Bellandi A. and Furletti B. and Grossi V. and Romei A.},
	publisher = {Acta Press , Anaheim, USA},
	booktitle = {26th IASTED International Conference on Artificial Intelligence and Applications, 2008, pp. 110–115, Innsbruck, Austria, 11-13 February 2008},
	year = {2008}
}