Results 111 to 120 of about 3,473 (211)

Banking customer churn prediction using random forest based on Smote and Adasyn approach

Tạp chí Phát triển và Hội nhập
Customer Churn is now becoming a significant problem in the banking sector. It is necessary to seek solutions to predict the rate of customer churn in banks; however, the dataset for customer churn prediction in banks is imbalanced.
Cong Thanh Tran
doaj   +1 more source

CTGAN-ENN: a tabular GAN-based hybrid sampling method for imbalanced and overlapped data in customer churn prediction

Journal of Big Data
Class imbalance is one of many problems of customer churn datasets. One of the common problems is class overlap, where the data have a similar instance between classes.
I Nyoman Mahayasa Adiputra, Paweena Wanchai   +1 more
doaj   +1 more source

Early warning of telecom enterprise customer churn based on ensemble learning. [PDF]

PLoS One, 2023
Zhou Y, Chen W, Sun X, Yang D.
europepmc   +1 more source

Artificial Intelligence Based Customer Churn Prediction Model for Business Markets. [PDF]

Comput Intell Neurosci, 2022
Faritha Banu J, Neelakandan S, Geetha BT, Selvalakshmi V, Umadevi A, Martinson EO.   +5 more
europepmc   +1 more source

E-commerce big data processing based on an improved RBF model

Journal of Intelligent Systems
In the dynamic landscape of China’s booming economy, the surge in e-commerce customer volume presents both opportunities and challenges, notably in managing customer churn (CC). Addressing this critical issue, this study introduces an innovative approach
Lu Qiuping
doaj   +1 more source

Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature

IEEE Access
The telecommunications sector has experienced exponential growth since the year 2000, reaching 5.31 trillion users by 2022, generating 1.07 trillion in revenue for telecommunications companies.
David Freire, David Santos Mauricio Sanchez, Jose Luis Castillo Sequera, Daniel Fiallo Moncayo   +3 more
doaj   +1 more source

Propension to customer churn in a financial institution: a machine learning approach. [PDF]

Neural Comput Appl, 2022
de Lima Lemos RA, Silva TC, Tabak BM.
europepmc   +1 more source

Customer Churn Prediction Pada Sektor Perbankan Dengan Model Logistic Regression dan Random Forest

Computer Science
– Customer churn is a detrimental phenomenon in the banking sector because it can reduce revenue and increase the cost of acquiring new customers. This research aims to compare the performance of two models, Logistic Regression and Random Forest, to ...
Ely Mufida, Doni Andriansyah, Hylenarti Hertyana   +2 more
doaj   +1 more source

A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection. [PDF]

PLoS One, 2022
Sana JK, Abedin MZ, Rahman MS, Rahman MS.   +3 more
europepmc   +1 more source

Customer Churn Analysis in Banking Sector [PDF]

, 2019
The role of ICT in the banking sector is a crucial part of the development of nations. The development of the banking sector mostly depends on its valuable customers.
Win Win Myo, Saw Thazin Khine
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