Author(s)

Eduardo Bezerra da Silva & Geraldo Bonorino Xexeo

Abstract

One of the main obstacles in applying data mining techniques to large, real- world databases is the lack of integration between applications and the database management system where the collection of target data is stored. In these applications, data are obtained by applying an SQL query to that database and then stored in flat files for further processing. As a result, these applications cannot benefit from previously implemented functionalities of the accessed database management system. In this paper, we present an architecture for rule extraction applications development. This architecture is constructed by adding the functionalities required in order to accomplish the extraction of rules from a database. Moreover, this ar

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