Case Study in Banking Using Neural Networks (CROSBI ID 674773)
Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija
Podaci o odgovornosti
Bilal Zorić, Alisa
engleski
Case Study in Banking Using Neural Networks
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.
data mining, neural network, banking, alyuda
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Podaci o prilogu
251-257.
2015.
objavljeno
Podaci o matičnoj publikaciji
Proceedings of the 1st ENTRENOVA - ENTerprise REsearch InNOVAtion Conference
Baćović, Maja ; Milković, Marin ; Pejić Bach, Mirjana ; Peković, Sanja
Zagreb: Udruga za promicanje inovacija i istraživanja u ekonomiji ''IRENET''
1849-7950
Podaci o skupu
ENTRENOVA - ENTerprise REsearch InNOVAtion Conference
ostalo
10.09.2015-11.09.2015
Kotor, Crna Gora