Naslov
Case Study in Banking Using Neural Networks

Autori
Bilal Zorić, Alisa

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
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'', 2015, 251-257

Skup
ENTRENOVA - ENTerprise REsearch InNOVAtion Conference

Mjesto i datum
Kotor, Crna Gora, 10.09.2015. - 11.09.2015

Vrsta sudjelovanja
Ostalo

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
data mining, neural network, banking, alyuda

Sažetak
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.

Izvorni jezik
Engleski

Znanstvena područja
Ekonomija, Informacijske i komunikacijske znanosti

POVEZANOST RADA