DMDSS: data mining based decision support system to integrate data mining and decision support

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 decis...

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Bibliographic Details
Published in:	28th International Conference on Information Technology Interfaces, 2006 pp. 225 - 230
Main Authors:	Rupnik, R., Kukar, M., Bajec, M., Krisper, M.
Format:	Conference Proceeding
Language:	English
Published:	IEEE 2006
Subjects:	Data analysis Data mining Decision making Decision support systems Information analysis Information science Pattern analysis Performance analysis Supervised learning Unsupervised learning
Online Access:	Get full text
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Summary:	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
ISBN:	9789537138059 9537138054
ISSN:	1330-1012
DOI:	10.1109/ITI.2006.1708482