Results 111 to 120 of about 856,045 (240)

Customer Churn Prediction Approach Based on LLM Embeddings and Logistic Regression

Future Internet
Nowadays, predicting customer churn is essential for the success of any company. Loyal customers generate continuous revenue streams, resulting in long-term success and growth.
Meryem Chajia, E. Nfaoui
semanticscholar   +1 more source

Customer churn modeling in telecommunication using a novel multi-objective evolutionary clustering-based ensemble learning

PLoS ONE
Customer churn prediction is vital for organizations to mitigate costs and foster growth. Ensemble learning models are commonly used for churn prediction.
Kaveh Faraji Googerdchi, Shahrokh Asadi, Seyed Mohammadbagher Jafari   +2 more
semanticscholar   +1 more source

An analysis on classification models for customer churn prediction

Cogent Engineering
The rapid expansion of technical infrastructure has brought about transformative changes in business operations. A notable consequence of this digital evolution is the proliferation of subscription-based services.
K. C. Mouli, Ch. V. Raghavendran, V. Y. Bharadwaj, G. Y. Vybhavi, C. Sravani, K. M. Vafaeva, Rajesh Deorari, Laith H. Alzubaidi   +7 more
semanticscholar   +1 more source

CUSTOMER CHURN PREDICTION

IARJSET, 2021
Senthilnayaki B, Swetha M, Nivedha D
openaire   +1 more source

Measuring Customer Churn and Interconnectedness

, 2020
This paper demonstrates that it is possible to construct accurate pictures of firm revenue, growth, geographic dispersion, and customer base characteristics using an increasingly accessible class of consumer financial transaction data. We develop two new measures which characterize firms' customer bases: the rate of churn in a firm's customer base and ...
Scott Baker, Brian Baugh, Marco Sammon
openaire   +1 more source

Bank Customer Churn Prediction Using SMOTE: A Comparative Analysis

Qeios
In today's market, customers have a plethora of options available to them when deciding where to invest their money. Consequently, customer churn and engagement have emerged as prominent concerns.
M. A. Hambali, Ishaku Andrew
semanticscholar   +1 more source

Performance Analysis of Oversampling and Undersampling on Telco Churn Data Using Naive Bayes, SVM And Random Forest Methods [PDF]

E3S Web of Conferences
The telecommunications industry is a rapidly growing economic sector in today’s digital era. However, intense competition causes challenges in retaining customers.
Alif Muhammad Daffa Nur, Fahrudin Nur Fitrianti   +1 more
doaj   +1 more source

Early warning of telecom enterprise customer churn based on ensemble learning. [PDF]

PLoS One, 2023
Zhou Y, Chen W, Sun X, Yang D.
europepmc   +1 more source

Subscriber churn in the Australian ISP market [PDF]

Rapid growth in Internet use, combined with easy market entry by Internet service providers (ISPs), has resulted in a highly competitive supply of Internet services.
Coble-Neal, Grant, Madden, Gary G, Savage, Scott J   +2 more
core   +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