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Um modelo para a mineração de regras de associação aplicado ao uso da Web

Marcos José BrussoPhilippe Olivier A. NavauxCláudio Fernando Resin Geyer

This work is dedicated to the study and application of association rule mining in order to discover navigation patterns in the Web environment. The main objective of this work is the presentation of a model for the extraction of association rules applied to the use of the Web. This model, named Access Miner, is characterized for focusing the steps of the knowledge discovery process since the obtainment of the data up to the presentation of the obtained rules to the analyst. Domain specific features were considered, as the site structure, to the post-processing of the mined rules in order to select the potentially more interesting ones and reduce the quantity of rules to be appreciated. Clique no link abaixo para buscar o texto completo deste trabalho na Web: Buscar na Web

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