Skip to main content
Article thumbnail
Location of Repository

Integrating decision support and data mining by hierarchical multi-attribute decision models

By Marko Bohanec and Blaž Zupan


Abstract. An approach to the integration of Data Mining and Decision Support is proposed in which these two techniques are used jointly for solving evaluation or classification problems. The integration is based on a common modeling formalism: qualitative hierarchical multi-attribute decision models. These can be developed either (1) in a traditional Decision Support way through a dialogue between the decision maker and decision analyst, or by (2) Data Mining using a database of previously solved problems. It is shown that these methods can be combined in a number of useful ways: sequentially or in parallel, and with different levels of expert's involvement. The approach is illustrated using a real-world problem of housing loan allocation.

Year: 2001
OAI identifier: oai:CiteSeerX.psu:
Provided by: CiteSeerX
Download PDF:
Sorry, we are unable to provide the full text but you may find it at the following location(s):
  • (external link)
  • http://www.informatik.uni-frei... (external link)
  • Suggested articles

    To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.