Results 111 to 120 of about 899,252 (240)
Research on customer churn prediction and model interpretability analysis. [PDF]
Peng K, Peng Y, Li W.
europepmc +1 more source
Banking customer churn prediction using random forest based on Smote and Adasyn approach
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
Revealing the Vicious Circle of Disengaged User Acceptance: A SaaS Provider's Perspective [PDF]
User acceptance tests (UAT) are an integral part of many different software engineering methodologies. In this paper, we examine the influence of UATs on the relationship between users and Software-as-a-Service (SaaS) applications, which are continuously
Ciriello, Raffaele +2 more
core
An analysis on classification models for customer churn prediction
The rapid expansion of technical infrastructure has brought about transformative changes in business operations. A notable consequence of this digital evolution is the proliferation of subscription-based services.
K. Mouli +7 more
semanticscholar +1 more source
Early warning of telecom enterprise customer churn based on ensemble learning. [PDF]
Zhou Y, Chen W, Sun X, Yang D.
europepmc +1 more source
Bank Customer Churn Prediction Using Machine Learning Framework
Using real customer data from a large community bank in the South of the US, this paper analyzes the customer churn prediction problem by constructing and comparing ten machine learning classification models with five sample techniques.
Rasha Ashraf
semanticscholar +1 more source
Artificial Intelligence Based Customer Churn Prediction Model for Business Markets. [PDF]
Faritha Banu J +5 more
europepmc +1 more source
E-commerce big data processing based on an improved RBF model
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
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 +3 more
doaj +1 more source
Propension to customer churn in a financial institution: a machine learning approach. [PDF]
de Lima Lemos RA, Silva TC, Tabak BM.
europepmc +1 more source

