An approach to efficient business intelligent system for financial prediction

Authors:
Dragan Simić;Svetlana Simić
Affiliations:
Novi Sad Fair, 11 Hajduk Veljkova Street, 21000, Novi Sad, Serbia and Faculty of Management, Department of Informatics, 6 Vase Stajića Street, 21000, Novi Sad, Serbia;University of Novi Sad, Institute of Neurology, Faculty of Medicine, 1-9 Hajduk Veljkova Street, 21000, Novi Sad, Serbia
Venue:
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on intelligent systems for financial engineering and computational finance
Year:
2007

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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.