[PDF][PDF] CUSTOMER CHURN PREDICTION WITH HYBRID RESAMPLING AND ENSEMBLE LEARNING.

T Kimura - Journal of Management Information & Decision …, 2022 - researchgate.net
Since acquiring new customers is often more costly than retaining existing ones, customer
retention management is critical for many business organizations. Identifying potential …

Research on telecom customer churn prediction based on ensemble learning

Y Liu, J Fan, J Zhang, X Yin, Z Song - Journal of Intelligent Information …, 2023 - Springer
As the market in the telecom industry becomes saturated and competition between telecom
operators heats up, preventing customer churn has become a company's top concern. It is …

A PCA-AdaBoost model for E-commerce customer churn prediction

Z Wu, L Jing, B Wu, L Jin - Annals of operations research, 2022 - Springer
Customer churn is detrimental to corporate revenue. Hence, accurate customer churn
prediction is vital for enterprises to improve customer retention and corporate revenue …

[PDF][PDF] Systematic review of customer churn prediction in the telecom sector

K Eria, BP Marikannan - Journal of Applied Technology and …, 2018 - jati.sites.apiit.edu.my
The Telecommunications (telecom) Industry is saturated and marketing strategies are
focusing on customer retention and churn prevention. Churning is when a customer stops …

Effective ML techniques to predict customer churn

S De, P Prabu, J Paulose - 2021 Third international conference …, 2021 - ieeexplore.ieee.org
Customer churn is one of the most challenging problems that affects revenue and growth
strategy of a company. According to a recent Gartner Tech Marketing survey, 91% of C-level …

Neighborhood cleaning rules and particle swarm optimization for predicting customer churn behavior in telecom industry

H Faris - International Journal of Advanced Science and …, 2014 - earticle.net
Churn prediction is an important task for Customer Relationship Management (CRM) in
telecommunication companies. Accurate churn prediction helps CRM in planning effective …

A survey of evolution in predictive models and impacting factors in customer churn

M Ahmed, H Afzal, A Majeed, B Khan - Advances in Data Science …, 2017 - World Scientific
The information-based prediction models using machine learning techniques have gained
massive popularity during the last few decades. Such models have been applied in a …

Customer churn prediction in telecom sector with machine learning and information gain filter feature selection algorithms

YK Saheed, MA Hambali - … on Data Analytics for Business and …, 2021 - ieeexplore.ieee.org
Customer churn is a significant issue and one of the primary worries of large businesses.
Due to the direct impact on firms' earnings, particularly in the telecommunications sector …

Customer churn prediction in telecommunication industry using data certainty

A Amin, F Al-Obeidat, B Shah, A Adnan, J Loo… - Journal of Business …, 2019 - Elsevier
Abstract Customer Churn Prediction (CCP) is a challenging activity for decision makers and
machine learning community because most of the time, churn and non-churn customers …

Inferring machine learning based parameter estimation for telecom churn prediction

J Pamina, J Beschi Raja, S Sam Peter… - … Vision and Bio Inspired …, 2019 - Springer
Customer churn is an important issue and major concern for many companies. This trend is
more noticeable in Telecom field. Telecom operators requires an essential proactive method …