Predicting customer churn in banking industry using neural networks
A Bilal Zorić - Interdisciplinary Description of Complex Systems …, 2016 - hrcak.srce.hr
Sažetak The aim of this article is to present a case study of usage of one of the data mining
methods, neural network, in knowledge discovery from databases in the banking industry …
methods, neural network, in knowledge discovery from databases in the banking industry …
Optimization of ATM cash replenishment with group-demand forecasts
In ATM cash replenishment banks want to use less resources (eg, cash kept in ATMs, trucks
for loading cash) for meeting fluctuated customer demands. Traditionally, forecasting …
for loading cash) for meeting fluctuated customer demands. Traditionally, forecasting …
Forecasting ATM cash demand before and during the COVID-19 pandemic using an extensive evaluation of statistical and machine learning models
A Fallahtafti, M Aghaaminiha, S Akbarghanadian… - SN computer …, 2022 - Springer
The overarching goal of this paper is to accurately forecast ATM cash demand for periods
both before and during the COVID-19 pandemic. To achieve this, first, ATMs are categorized …
both before and during the COVID-19 pandemic. To achieve this, first, ATMs are categorized …
Improving cash logistics in bank branches by coupling machine learning and robust optimization
JL Lázaro, ÁB Jiménez, A Takeda - Expert Systems With Applications, 2018 - Elsevier
This paper describes how Machine Learning and Robust Optimization techniques can
greatly improve cash logistics operations. Specifically, we seek to optimize the logistics …
greatly improve cash logistics operations. Specifically, we seek to optimize the logistics …
ATM cash prediction using time series approach
One of the main challenges in today's banking industry is to forecast the cash demand of
their ATM network. Each ATM must be filled with the right amount so that neither a …
their ATM network. Each ATM must be filled with the right amount so that neither a …
The improvement of forecasting ATMS cash demand of Iran banking network using convolutional neural network
S Poorzaker Arabani… - Arabian Journal for …, 2019 - Springer
One of the problems related to the banking system is Automated Teller Machine (ATM) cash
demand forecasting. If an ATM faces a shortage of cash, it will face the decline of bank …
demand forecasting. If an ATM faces a shortage of cash, it will face the decline of bank …
Enhanced predictive models for purchasing in the fashion field by using kernel machine regression equipped with ordinal logistic regression
AF Tehrani, D Ahrens - Journal of Retailing and Consumer Services, 2016 - Elsevier
Identifying the products which are highly sold in the fashion apparel industry is one of the
challenging tasks, which leads to reduce the write off and increases the revenue. In fact …
challenging tasks, which leads to reduce the write off and increases the revenue. In fact …
Effectiveness of ATM withdrawal forecasting methods under different market conditions
This study aims to test the forecasting accuracy of recently implemented econometric tools
as compared to the forecasting accuracy of widely used traditional models when predicting …
as compared to the forecasting accuracy of widely used traditional models when predicting …
[PDF][PDF] A methodology to improve cash demand forecasting for ATM network
SM Darwish - International journal of Computer and electrical …, 2013 - academia.edu
ATM network is a challenging task as the chronological cash demand for every ATM
fluctuates with time and often superimposed with non-stationary behavior of users. In order …
fluctuates with time and often superimposed with non-stationary behavior of users. In order …
Comparing NARX and NARMAX models using ANN and SVM for cash demand forecasting for ATM
A comparative study between NARMAX and NARX models developed with ANN and SVM
when used to forecast cash demand for ATMs is conducted. A simple methodology for …
when used to forecast cash demand for ATMs is conducted. A simple methodology for …