Results 101 to 110 of about 17,519 (197)

Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries. [PDF]

Biomimetics (Basel), 2023
Mengash HA, Alruwais N, Kouki F, Singla C, Abd Elhameed ES, Mahmud A.   +5 more
europepmc   +1 more source

Churn Prediction Retention Framework [PDF]

Third International Conference on Advances In Computing, Control And Networking - ACCN 2015, 2015
ABOUL ELLA, ESSAM SHAABAN
openaire   +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

Multi-model telecom churn prediction

The Scientific Temper
Customer turnover is likely to be significant in the telecom business due to its dynamic and competitive nature. Traditional measures of performance are inadequate in such a fluid environment to accurately portray organisational objectives. The reason behind this is because the performance measurements are not in line with the company goals.
null S. Bhuvaneswari, null A. Nisha Jebaseeli   +1 more
openaire   +1 more source

Churn Prediction: Does Technology Matter?

, 2008
{"references": ["Van Den Poel, D. and B. Lariviere, Customer attrition analysis for\nfinancial services using proportional hazard models. European journal of\noperational research, 2003. 157: p. 196-217.", "Wei, C. and I. Chiu, Turning telecommunications call details to churn\nprediction: a data mining approach. Expert systems with applications,\n2002.
Hadden, John, Tiwari, Ashutosh, Roy, Rajkumar, Dymitr Ruta   +3 more
openaire   +1 more source

Factors, Predictability, and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature

IEEE Access
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, David Santos Mauricio Sanchez, Jose Luis Castillo Sequera, Daniel Fiallo Moncayo   +3 more
doaj   +1 more source

Customer retention and churn prediction in the telecommunication industry: a case study on a Danish university. [PDF]

SN Appl Sci, 2023
Saleh S, Saha S.
europepmc   +1 more source

Machine learning based customer churn prediction in home appliance rental business. [PDF]

J Big Data, 2023
Suh Y.
europepmc   +1 more source

Artificial Intelligence Based Customer Churn Prediction Model for Business Markets. [PDF]

Comput Intell Neurosci, 2022
Faritha Banu J, Neelakandan S, Geetha BT, Selvalakshmi V, Umadevi A, Martinson EO.   +5 more
europepmc   +1 more source

Churn prediction in telecommunication industry using kernel Support Vector Machines. [PDF]

PLoS One, 2022
Y NN, Ly TV, Son DVT.
europepmc   +1 more source