Title :
DMDSS: data mining based decision support system to integrate data mining and decision support
Author :
Rupnik, R. ; Kukar, M. ; Bajec, M. ; Krisper, M.
Author_Institution :
Fac. of Comput. & Inf. Sci., Ljubljana Univ.
Abstract :
Modern organizations use several types of decision support systems to facilitate decision support. In many cases OLAP based tools are used in the business area, which enable multiple views on data and through that a deductive approach to data analysis. Data mining extends the possibilities for decision support by discovering patterns and relationships hidden in data and therefore enabling the inductive approach of data analysis. The paper introduces data mining based decision support system, which was designed for business users to enable them to use data mining models to facilitate decision support with only a basic level of knowledge of data mining
Keywords :
business data processing; data analysis; data mining; decision support systems; OLAP based tool; business user support; data analysis; data mining; decision support system; deductive approach; inductive approach; organizational aspects; pattern discovery; Data analysis; Data mining; Decision making; Decision support systems; Information analysis; Information science; Pattern analysis; Performance analysis; Supervised learning; Unsupervised learning;
Conference_Titel :
Information Technology Interfaces, 2006. 28th International Conference on
Conference_Location :
Cavtat/Dubrovnik
Print_ISBN :
953-7138-05-4
DOI :
10.1109/ITI.2006.1708482