Case-based reasoning for financial prediction

Authors:
Dragan Simić;Zoran Budimac;Vladimir Kurbalija;Mirjana Ivanović
Affiliations:
Novi Sad Fair, Hajduk Veljkova, Novi Sad, Serbia and Montenegro;Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad, Novi Sad, Serbia and Montenegro;Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad, Novi Sad, Serbia and Montenegro;Department of Mathematics and Informatics, Faculty of Science, University of Novi Sad, Novi Sad, Serbia and Montenegro
Venue:
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
Year:
2005

Citing 0
Cited 1

Financial Forecasting of Invoicing and Cash Inflow Processes for Fair Exhibitions

HAIS '09 Proceedings of the 4th International Conference on Hybrid Artificial Intelligence Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

A concept of financial prediction system is considered in this paper. By integrating multidimensional data technology (data warehouse, OLAP) and case-based reasoning, we are able to predict financial trends and provide enough data for business decision making. Methodology has been successfully used and tested in the management information system of "Novi Sad Fair".