Results 121 to 130 of about 2,799 (223)

A proposed hybrid framework to improve the accuracy of customer churn prediction in telecom industry

open access: yesJournal of Big Data
In the telecom sector, predicting customer churn has increased in importance in recent years. Developing a robust and accurate churn prediction model takes time, but it is crucial.
Shimaa Ouf   +2 more
doaj   +1 more source

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

open access: yesIEEE 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   +3 more
doaj   +1 more source

Modelli di Churn Prediction

open access: yes, 2010
La tesi si pone l’obiettivo di descrivere il tema della churn prediction, che consiste nella previsione dello spostamento dei clienti da un’azienda all’altra.
PORRECA, ROSARIO
core  

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

open access: yesBiomimetics (Basel), 2023
Mengash HA   +5 more
europepmc   +1 more source

EMPLOYEE CHURN DESCRIPTIVE AND COMPARATIVE PREDICTION MODEL [PDF]

open access: yes, 2018
Churn phenomenon commonly occurs in customer loyalty towards brand product or services. Customer churn has become significant issue in which any industry’s practitioners would put on their best effort in order to press it.
NISRINA SALMA
core  

CUSTOMER CHURN PREDICTION

open access: yesIARJSET, 2021
Senthilnayaki B, Swetha M, Nivedha D
openaire   +1 more source

Churn Prediction of Pharmacy Customers.

open access: yes, 2017
Customer relationship management is a comprehensive strategy to build, manage and strengthen long lasting relationships between business and its customers. One of the main tasks of this strategy is customer retention.
Kizelevičius, Ignas,
core  

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

open access: yesComput Intell Neurosci, 2022
Faritha Banu J   +5 more
europepmc   +1 more source

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