Case-based reasoning for financial prediction
IEA/AIE'2005 Proceedings of the 18th international conference on Innovations in Applied Artificial Intelligence
An approach to efficient business intelligent system for financial prediction
Soft Computing - A Fusion of Foundations, Methodologies and Applications - Special issue on intelligent systems for financial engineering and computational finance
A clustering method to identify representative financial ratios
Information Sciences: an International Journal
Predicting financial activity with evolutionary fuzzy case-based reasoning
Expert Systems with Applications: An International Journal
Gaussian case-based reasoning for business failure prediction with empirical data in China
Information Sciences: an International Journal
Price information evaluation and prediction for broiler using adapted case-based reasoning approach
Expert Systems with Applications: An International Journal
Data gravitation based classification
Information Sciences: an International Journal
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The concept of case-based reasoning (CBR) system for financial forecasting, the dynamics of issuing invoices and the corresponding cash inflow for a fair exhibition is presented in this paper. The aim of the research is the development of a hybrid intelligent tool, based on the heuristic interpolating CBR adaptation phase and the data gravitation classification method in the revise phase. The previous experience with new forecasting is taken into account. Simulations performed are based on the already known behaviour of the adapted logistic curves followed during the last eight years of fair exhibitions. Methodological aspects have been practically tested as a part of the management information system development project of "Novi Sad Fair".