DECISION SUPPORT SYSTEM TO SUPPORT DECISION PROCESSES WITH DATA MINING

Rok Rupnik, Matjaž Kukar

Abstract


Traditional techniques of data analysis do not enable the solution of all kind of problems and for that reason they have become insufficient. This caused a newinterdisciplinary field of data mining to arise, encompassing both classical statistical, and modern machine learning techniques to support the data analysis and knowledge discovery from data. Data mining methods are powerful in dealing with large quantities of data, but on the other hand they are difficult to master by business users to facilitate decision support. In this paper we introduce our approach to integration of decision support system with data mining. We discuss the role of data mining to facilitate decision support, the use of data mining methods in decision support systems, discuss applied approaches and introduce a data mining decision support system called DMDSS - Data Mining Decision Support System. We also present some obtained results and plans for future development.

Keywords


data mining; decision support; decision support system; knowledge discovery; integration

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Journal of Information and Organizational Sciences (Online)
ISSN 1846-9418 (online)
ISSN 1846-3312 (print)