A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …
continuously evolve, leading to increased customer churn. Effectively anticipating and …
Machine learning to develop credit card customer churn prediction
The credit card customer churn rate is the percentage of a bank's customers that stop using
that bank's services. Hence, developing a prediction model to predict the expected status for …
that bank's services. Hence, developing a prediction model to predict the expected status for …
[HTML][HTML] Customer churning analysis using machine learning algorithms
B Prabadevi, R Shalini, BR Kavitha - International Journal of Intelligent …, 2023 - Elsevier
Businesses must compete fiercely to win over new consumers from suppliers. Since it
directly affects a company's revenue, client retention is a hot topic for analysis, and early …
directly affects a company's revenue, client retention is a hot topic for analysis, and early …
[HTML][HTML] Investigating customer churn in banking: A machine learning approach and visualization app for data science and management
Customer attrition in the banking industry occurs when consumers quit using the goods and
services offered by the bank for some time and, after that, end their connection with the bank …
services offered by the bank for some time and, after that, end their connection with the bank …
Impact of hyperparameters on deep learning model for customer churn prediction in telecommunication sector
A Dalli - Mathematical Problems in Engineering, 2022 - Wiley Online Library
In this paper, in order to predict a customer churn in the telecommunication sector, we have
analysed several published articles that had used machine learning (ML) techniques …
analysed several published articles that had used machine learning (ML) techniques …
Intelligent decision forest models for customer churn prediction
Customer churn is a critical issue impacting enterprises and organizations, particularly in the
emerging and highly competitive telecommunications industry. It is important to researchers …
emerging and highly competitive telecommunications industry. It is important to researchers …
Customer churn prediction model in cloud environment using DFE-WUNB: ANN deep feature extraction with weight updated tuned Naïve bayes classification with …
SA Panimalar, A Krishnakumar - Engineering Applications of Artificial …, 2023 - Elsevier
With progressing competitive market, different organizations were desperate to hold this
churn rate as minimum value, hence to achieve this, building an effective (CCP) customer …
churn rate as minimum value, hence to achieve this, building an effective (CCP) customer …
Customer churn prediction in imbalanced datasets with resampling methods: A comparative study
Customer churn presents a significant challenge for businesses in the era of subscription-
based services because retaining customers plays a key role in sustained growth. Existing …
based services because retaining customers plays a key role in sustained growth. Existing …
Detecting the risk of customer churn in telecom sector: a comparative study
N Edwine, W Wang, W Song… - Mathematical …, 2022 - Wiley Online Library
Churn rate describes the rate at which customers abandon a product or service. Identifying
churn‐risk customers is essential for telecom sectors to retain old customers and maintain a …
churn‐risk customers is essential for telecom sectors to retain old customers and maintain a …
[HTML][HTML] Empirical analysis of tree-based classification models for customer churn prediction
Customer churn is a vital and reoccurring problem facing most business industries,
particularly the telecommunications industry. Considering the fierce competition among …
particularly the telecommunications industry. Considering the fierce competition among …