[DOC][DOC] Review of Data Mining Techniques for Detecting Churners in the Telecommunication Industry

M Ewieda, MI Roushdy… - Future Computing …, 2021 - digitalcommons.aaru.edu.jo
The telecommunication sector has been developed rapidly and with large amounts of data
obtained as a result of increasing in the number of subscribers, modern techniques, data …

[PDF][PDF] Customer churn prediction in banking industry using K-means and support vector machine algorithms

AS Olaniyi, AM Olaolu… - International Journal …, 2020 - researchgate.net
This study proposes a customer churn mining structure based on data mining methods in a
banking sector. This study predicts the behavior of customers by using clustering technique …

[PDF][PDF] Enhanced deep feed forward neural network model for the customer attrition analysis in banking sector

MR Mundada - International Journal of Intelligent Systems and …, 2019 - researchgate.net
In the present era with the development of the innovation and the globalization, attrition of
customer is considered as the vital metric which decides the incomes and gainfulness of the …

Analysis of Telecom Churn using Machine Learning Techniques

P Salian, A Murthy, S Salian - 2022 International Conference …, 2022 - ieeexplore.ieee.org
Customers are the cornerstone of any company's success; thus, businesses understand how
crucial it is to ensure their satisfaction. The telecommunications sector is developing quickly …

Optimized deep neural network based predictive model for customer attrition analysis in the banking sector

S Hegde, MR Mundada - Recent Patents on Engineering, 2020 - ingentaconnect.com
Background: In recent time with the growth of the technology and the business model,
customer attrition analysis is considered as a very important metric which decides the …

Analytical decision list algorithm for managing customer reaction to a marketing campaign

I Ushakova, Y Hrabovskyi… - Polish Journal of …, 2023 - yadda.icm.edu.pl
In this paper, the authors aim to develop a methodology for customer segmentation based
on their response to marketing campaigns, considering customer value using predictive …

Customer Churn Prediction

D Wadikar - 2020 - arrow.tudublin.ie
Churned customers identification plays an essential role for the functioning and growth of
any business. Identification of churned customers can help the business to know the …

Customer Churn Analysis in Financial Domain using Deep Intelligence Network

SK Hegde, R Hegde, SS Nanda… - … on Intelligent Data …, 2023 - ieeexplore.ieee.org
Customer churn analysis is regarded as a crucial indicator that determines the revenues and
profitability of the organisation in the modern day due to the advancement of technology and …

Enhancing Customer Relationship Management Using Association Rule Mining and the Evolutionary Algorithm

AM Ashi, S Elhag - The 5th International Conference on Future Networks …, 2021 - dl.acm.org
Firms are forced to come up with innovative approaches to compete in today's difficult global
market circumstances. The churning of the customer is one of the issues that arise when a …

[PDF][PDF] IEEESEM

OE EMAM, RM HAGGAG - 2022 - ieeesem.com
ABSTRCT A Decision Support System (DSS) is a computer-based information system that
assists human decision makers in exercising judgment but does not make the decision itself …