The Journal of Information Systems (한국정보시스템학회지:정보시스템연구)

Korea Association of Information Systems (한국정보시스템학회)
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The HCARD Model using an Agent for Knowledge Discovery

  • Gerardo Bobby D. (School of Electronic and Information Engineering, Kunsan National University) ;
  • Lee Jae-Wan (School of Electronic and Information Engineering, Kunsan National University) ;
  • Joo Su-Chong (School of Electrical Electronic and Information Engineering, Wonkwang University)
  • Published : 2005.12.01
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Abstract

In this study, we will employ a multi-agent for the search and extraction of data in a distributed environment. We will use an Integrator Agent in the proposed model on the Hierarchical Clustering and Association Rule Discovery(HCARD). The HCARD will address the inadequacy of other data mining tools in processing performance and efficiency when use for knowledge discovery. The Integrator Agent was developed based on CORBA architecture for search and extraction of data from heterogeneous servers in the distributed environment. Our experiment shows that the HCARD generated essential association rules which can be practically explained for decision making purposes. Shorter processing time had been noted in computing for clusters using the HCARD and implying ideal processing period than computing the rules without HCARD.

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