Computer Science – Databases
Scientific paper
2011-12-07
Computer Science
Databases
ECML/PKDD'05 The Second International Workshop on Knowledge Discovery and Ontologies (KDO'05)
Scientific paper
The Data Mining process enables the end users to analyze, understand and use the extracted knowledge in an intelligent system or to support in the decision-making processes. However, many algorithms used in the process encounter large quantities of patterns, complicating the analysis of the patterns. This fact occurs with association rules, a Data Mining technique that tries to identify intrinsic patterns in large data sets. A method that can help the analysis of the association rules is the use of taxonomies in the step of post-processing knowledge. In this paper, the GART algorithm is proposed, which uses taxonomies to generalize association rules, and the RulEE-GAR computational module, that enables the analysis of the generalized rules.
Domingues Marcos Aurélio
Rezende Solange Oliveira
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