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Data Mining in Designing an Agent-Based DSS

Data Mining in Designing an Agent-Based DSS

Christian Bohm, Maria R. Galli, Omar Chiotti
Copyright: © 2003 |Pages: 16
ISBN13: 9781591400516|ISBN10: 1591400511|ISBN13 Softcover: 9781931777834|EISBN13: 9781591400950
DOI: 10.4018/978-1-59140-051-6.ch019
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MLA

Bohm, Christian, et al. "Data Mining in Designing an Agent-Based DSS." Data Mining: Opportunities and Challenges, edited by John Wang, IGI Global, 2003, pp. 421-436. https://doi.org/10.4018/978-1-59140-051-6.ch019

APA

Bohm, C., Galli, M. R., & Chiotti, O. (2003). Data Mining in Designing an Agent-Based DSS. In J. Wang (Ed.), Data Mining: Opportunities and Challenges (pp. 421-436). IGI Global. https://doi.org/10.4018/978-1-59140-051-6.ch019

Chicago

Bohm, Christian, Maria R. Galli, and Omar Chiotti. "Data Mining in Designing an Agent-Based DSS." In Data Mining: Opportunities and Challenges, edited by John Wang, 421-436. Hershey, PA: IGI Global, 2003. https://doi.org/10.4018/978-1-59140-051-6.ch019

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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.

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