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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@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}
}
0000-0003-3621-3211