Case Study in Banking Using Neural Networks

Authors

  • Alisa Bilal Zorić University of Applied Sciences Baltazar, Zaprešić, Croatia

Keywords:

data mining, neural network, banking, alyuda

Abstract

Data Mining represents a Business Intelligence (BI) methodology which provides an insight into the 'hidden' information about its operations thus improving the process of making strategic business decisions based on a clear and understandable interpretation of existing results. Data mining can help to resolve banking problems by finding some regularity, causality and correlation to business information which are not visible at first sight because they are hidden in large amounts of data. The goal of this paper is to present a case study of usage of operations research methods in knowledge discovery from databases in the banking industry. Neural network method was used within the software package Alyuda.

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Published

2015-10-31

How to Cite

Bilal Zorić, A. (2015). Case Study in Banking Using Neural Networks. ENTRENOVA - ENTerprise REsearch InNOVAtion, 1(1), 17–23. Retrieved from https://hrcak.srce.hr/ojs/index.php/entrenova/article/view/14379

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Section

Mathematical and Quantitative Methods