Results 111 to 120 of about 22,947 (200)

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

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

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

Telco Customer Churn Prediction

Highlights in Science, Engineering and Technology
In recognizing the significance of retaining current consumers to thrive in this competitive landscape, this paper aims to predict customers' churn probability based on the background and behaviors of previous customers. The paper utilizes churn probability as a proactive means to identify customers at a high risk of leaving, serving as a reference for
openaire   +1 more source

Measuring the Benefits of Mobile Number Portability [PDF]

Increasing numbers of countries require mobile telephone networks to offer mobile number portability (MNP). MNP allows customers who wish to switch mobile operator to keep their mobile numbers, avoiding the costs of switching to new numbers.
Sean Lyons
core  

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  

Churn management in hospitality

Journal of Big Data
This research paper presents a novel churn management approach tailored to the hospitality industry. Focused on enhancing customer retention, the proposed model consists of two integral pillars: churn identification and proactive action.
Rik van Leeuwen, Hieu Duc Do, Ger Koole
doaj   +1 more source

Review of Data Mining Techniques for Churn Prediction in Telecom

Journal of Information and Organizational Sciences, 2015
Telecommunication sector generates a huge amount of data due to increasing number of subscribers, rapidly renewable technologies; data based applications and other value added service.
Vishal Mahajan, Richa Misra, Renuka Mahajan   +2 more
doaj  

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

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

Preventing customers from running away! Exploring generalized additive models for customer churn prediction [PDF]

, 2015
Benoit, Dries, Coussement, Kristof, Van den Poel, Dirk   +2 more
core   +2 more sources