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Ontological Support For Association Rule Mining

Conference Paper
Publication Date:
2008
abstract:
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.
Iris type:
04.01 Contributo in Atti di convegno
Keywords:
Association Rules; Ontology; Data mining
List of contributors:
Grossi, Valerio; Furletti, Barbara; Bellandi, Andrea
Authors of the University:
BELLANDI ANDREA
FURLETTI BARBARA
GROSSI VALERIO
Handle:
https://iris.cnr.it/handle/20.500.14243/265114
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URL

http://dl.acm.org/citation.cfm?id=1712781
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