An approach to efficient business intelligent system for financial prediction |
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| Authors: | Dragan Simi? Svetlana Simi? |
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| Affiliation: | (1) Novi Sad Fair, 11 Hajduk Veljkova Street, 21000 Novi Sad, Serbia;(2) Faculty of Management, Department of Informatics, 6 Vase Stajića Street, 21000 Novi Sad, Serbia;(3) Institute of Neurology, Faculty of Medicine, University of Novi Sad, 1-9 Hajduk Veljkova Street, 21000 Novi Sad, Serbia |
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| Abstract: | A concept of business intelligent system for financial prediction is considered in this paper. It provides data needed for
fast, precise and good business decision support to all levels of management. The aim of the project is the development of
a new online analytical processing oriented on case-based reasoning (CBR) where a previous experience for every new problem
is taken into account. Methodological aspects have been tested in practice as a part of the management information system
development project of “Novi Sad Fair”. A case study of an improved application of CBR in prediction of future payments is
discussed in the paper.
This paper is originally presented at The International Conference on Hybrid Information Technology 2006, at the special session
on “Intelligent Information Systems for Financial Engineering”, November 2006 in Cheju Island, Korea. |
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| Keywords: | Decision support Case-based reasoning Financial prediction |
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