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Uma análise comparativa de algoritmos de regras de associação: minerando dados da indústria automotiva

Sílvio CazellaPaulo Gillmeister

The DCBD process has a variety of algorithms and tools for the data mining phase. This article presents a comparative analysis of algorithms for generation of association rules. The performance of the algorithms is evaluated for a set of metric. The evaluated algorithms are: Apriori, Predictive Apriori and Tertius. The database used for the accomplishment of the experiments consists in a real database provided by a Brazilian automobilistic industry. The results of the experiments are described in the end of this article.

http://ccet.ucs.br/erbd2007/artigos/26120.pdf

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