Results 121 to 130 of about 899,252 (240)

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

AI-Based Customer Churn Prediction Model for Business Markets in the USA: Exploring the Use of AI and Machine Learning Technologies in Preventing Customer Churn

Journal of Computer Science and Technology Studies
Understanding consumer churn is pivotal for companies in the USA to develop efficient strategies for consumer retention and reduce its negative effects on revenue and profitability.
N. Gurung, Md Rokibul Hasan, Sumon Gazi, Faiaz Rahat Chowdhury   +3 more
semanticscholar   +1 more source

Bank Customer Churn Prediction Using SMOTE: A Comparative Analysis

Qeios
In today's market, customers have a plethora of options available to them when deciding where to invest their money. Consequently, customer churn and engagement have emerged as prominent concerns.
M. A. Hambali, Ishaku Andrew
semanticscholar   +1 more source

Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction. [PDF]

Comput Intell Neurosci, 2022
Thakkar HK, Desai A, Ghosh S, Singh P, Sharma G.   +4 more
europepmc   +1 more source

LOGIC MINING FOR TELECOMMUNICATION CHURN CLASSIFICATION: PERMUTATION WEIGHTED RANDOM 2 SATISFIABILITY REVERSE ANALYSIS APPROACH

Barekeng
The telecommunications industry is experiencing rapid transformation, resulting in tense competition and increased customer volatility. Telecom churn, which refers to the discontinuation of services by customers, poses a serious challenge due to its ...
Nur Ezlin Zamri, Nurul Ain Najwa Mohamad Jamil, Nurul Atiqah Romli, Mohd Shareduwan Mohd Kasihmuddin   +3 more
doaj   +1 more source

An ensemble based approach using a combination of clustering and classification algorithms to enhance customer churn prediction in telecom industry. [PDF]

PeerJ Comput Sci, 2022
Fakhar Bilal S, Ali Almazroi A, Bashir S, Hassan Khan F, Ali Almazroi A.   +4 more
europepmc   +1 more source

Identifying customer churn in Telecom sector: A Machine Learning Approach

Fountain Journal of Natural and Applied Sciences (FUJNAS)
Nowadays, there is no shortage of options for customers when choosing where to put their money. As a result, customer churn and engagement have become one of the top issues.
Moshood Abiola Hambali, Emmanuel Lawrence, Yinusa Olasupo, Ishaku Andrew   +3 more
doaj   +1 more source

Utilizing data sampling techniques on algorithmic fairness for customer churn prediction with data imbalance problems. [PDF]

F1000Res, 2021
Maw M, Haw SC, Ho CK.
europepmc   +1 more source

Lifelog Data-Based Prediction Model of Digital Health Care App Customer Churn: Retrospective Observational Study. [PDF]

J Med Internet Res, 2021
Kwon H, Kim HH, An J, Lee JH, Park YR.
europepmc   +1 more source