A MECHANISM TO DISCOVER AND INTEGRATE ASSOCIATION RULES FROM MULTIPLE SOURCES
Keywords:Distributed data mining, Association rule analysis, Logical inference, Natural language
AbstractThe aim of this paper is to study the problem of distributed association mining and to propose a novel method for discovering and integrating association rules from multiple sources. Currently, with the advancement of computer and internet technologies, data are stored in several places such as the medical information gathered by numerous branches and various departments of the hospital. This situation has made association rule mining a difficult task because traditional mining method has been designed for centralized analysis. Therefore, this paper intends to solve the distributed association rule mining problem by proposing a method for analyzing pieces of information at the local sites and then integrate the induced association rules via the reasoning mechanism in its natural language form. Experimental results confirm the efficacy of our proposed method.
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