Results 121 to 130 of about 17,450 (209)

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

open access: yesComput Intell Neurosci, 2022
Thakkar HK   +4 more
europepmc   +1 more source

A comprehensive survey on customer churn analysis studies

open access: yesJournal of Information and Telecommunication
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]

open access: yes
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  

Integrating generative AI and machine learning classifiers for solving heterogenous MCGDM: a case of employee churn prediction

open access: yesScientific Reports
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

A prediction algorithm of telecom customer churn based on Bayesian network parameters learning under incomplete data

open access: yesDianxin kexue, 2018
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

open access: yesInternational Journal of Computer Applications, 2018
Mrugendra Rahevar, Fenil D., Jainam D.
openaire   +1 more source

Research on telecom industry customer churn prediction based on explainable machine learning models

open access: yesDianxin kexue
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

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