Data mining in designing an agent-based DSS

  • Authors:
  • Christian Böhm;María Rosa Galli;Omar Chiotti

  • Affiliations:
  • GIDSATD-UTN-FRSF, Argentina;GIDSATD-UTN-FRSF and INGAR-CONICET, Argentina;GIDSATD-UTN-FRSF and INGAR-CONICET, Argentina

  • Venue:
  • Data mining
  • Year:
  • 2003

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Abstract

The aim of this work is to present a data-mining application to software engineering. Particularly, we describe the use of data mining in different parts of the design process of an agent-based architecture for a dynamic decision-support system. The work is organized as follows: An introduction section defines the characteristics of a dynamic decision-support system and gives a brief background about the use of data mining and case-based reasoning in software engineering. A second section describes the use of data mining in designing the system knowledge bases. A third section presents the use of data mining in designing the learning process of the dynamic decision-support system. Finally, a fourth section describes the agent-based architecture we propose for the dynamic decision support system. It implements the mechanisms designed by using data mining to satisfy the system functionality.