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 …
[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 …
Factors, Predictability and Explainability of Mobile Telephony Customer Departure in Telecommunications Companies: A Systematic Review of the Literature
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 …
reaching 5.31 trillion users by 2022, generating 1.07 trillion in revenue for …
Archimedes Optimization Algorithm-Based Feature Selection with Hybrid Deep-Learning-Based Churn Prediction in Telecom Industries
Customer churn prediction (CCP) implies the deployment of data analytics and machine
learning (ML) tools to forecast the churning customers, ie, probable customers who may …
learning (ML) tools to forecast the churning customers, ie, probable customers who may …
[HTML][HTML] New Artificial intelligence approaches for brand switching decisions
The problem of customer complaints occurs in almost every business and solutions are
offered to reduce these complaints. When companies do not pay necessary attention to the …
offered to reduce these complaints. When companies do not pay necessary attention to the …
The Implementation of hybrid methods in data mining for Predicting customer churn in the telecommunications sector
RH Herdian, AS Girsang - Jurnal Mantik, 2023 - iocscience.org
In recent years, the telecommunication industry is growth and become very competitive
where has reached the point maintaining customer is very essential than acquiring new …
where has reached the point maintaining customer is very essential than acquiring new …
The Comparison of Random Forest and Artificial Neural Network for Customer Churn Prediction in Telecommunication
AF Ramadhan, SD Permai… - 2023 3rd International …, 2023 - ieeexplore.ieee.org
Customer churn is a significant issue that can affect a company's revenue, particularly in the
telecommunication sector. Companies today are working hard to survive in this competitive …
telecommunication sector. Companies today are working hard to survive in this competitive …
A flexible framework for customer behavior prediction based on ensemble learning
Predicting customer behavior is crucial for businesses, including churn and purchasing
behavior. We propose a tailored model for this purpose, applied to two types of problems …
behavior. We propose a tailored model for this purpose, applied to two types of problems …
Churn Prediction Model Based on Logistic Regression in the Telecommunications Industry: Big Data Analysis
The telecommunications industry faces fierce competition and rapid customer growth, but
also a pressing challenge: customer churn. This phenomenon, where customers switch …
also a pressing challenge: customer churn. This phenomenon, where customers switch …
Improved Decision Tree, Random Forest, and XGBoost Algorithms for Predicting Client Churn in the Telecommunications Industry.
ME Saleh, N Abd-Alsabour - International Journal of …, 2024 - search.ebscohost.com
Traditional machine learning models, especially decision trees, face great challenges when
applied to highdimensional and imbalanced telecommunication datasets. The research …
applied to highdimensional and imbalanced telecommunication datasets. The research …