Results 121 to 130 of about 17,450 (209)
Clairvoyant: AdaBoost with Cost-Enabled Cost-Sensitive Classifier for Customer Churn Prediction. [PDF]
Thakkar HK +4 more
europepmc +1 more source
Utilizing data sampling techniques on algorithmic fairness for customer churn prediction with data imbalance problems. [PDF]
Maw M, Haw SC, Ho CK.
europepmc +1 more source
A comprehensive survey on customer churn analysis studies
This paper presents a comprehensive survey of customer churn analysis studies. It begins by examining the customer journey and touchpoints, emphasizing their influence on churn behaviour.
Maryam Shahabikargar +4 more
doaj +1 more source
Revisiting the Use of Customer Information for CRM [PDF]
For the past decade, customer relationship management (CRM) has been one of the priorities in marketing research and practice. However, many of the CRM systems did not perform as the companies expected.
Becker, Jan U., Reimer, Kerstin
core
Employee churn is a critical issue for companies and organizations, as it directly impacts productivity, efficiency, and overall operational success.
Hagar G. Abu-Faty +3 more
doaj +1 more source
Aiming at prediction of telecom customer churn,a novel method was proposed to increase the prediction accuracy with the missing data based on the Bayesian network.This method used k-nearest neighbor algorithm to fill the missing data and adds two types ...
Yuxiang ZHAO +3 more
doaj +2 more sources
Customer Churn Prediction Analysis
Mrugendra Rahevar, Fenil D., Jainam D.
openaire +1 more source
Research on telecom industry customer churn prediction based on explainable machine learning models
In the telecom industry, accurate prediction of customer churn is crucial for the companies involved to maintain market competitiveness and increase revenue.
WANG Shengjie, ZHANG Qinghong
doaj +2 more sources
Social Network Analysis and Churn Prediction in Telecommunications Using Graph Theory. [PDF]
Kostić SM, Simić MI, Kostić MV.
europepmc +1 more source
Preventing customers from running away! Exploring generalized additive models for customer churn prediction [PDF]
Benoit, Dries +2 more
core +2 more sources

