A churn prediction model using random forest: analysis of machine learning techniques for churn prediction and factor identification in telecom sector
In the telecom sector, a huge volume of data is being generated on a daily basis due to a
vast client base. Decision makers and business analysts emphasized that attaining new …
vast client base. Decision makers and business analysts emphasized that attaining new …
What do we know about customer churn behaviour in the telecommunication industry? A bibliometric analysis of research trends, 1985–2019
The literature on telecommunications customer churn behaviour has grown in importance
and volume since the early 2000s. This study performed a quantitative bibliometric …
and volume since the early 2000s. This study performed a quantitative bibliometric …
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 …
Integrated churn prediction and customer segmentation framework for telco business
In the telco industry, attracting new customers is no longer a good strategy since the cost of
retaining existing customers is much lower. Churn management becomes instrumental in …
retaining existing customers is much lower. Churn management becomes instrumental in …
Boosting ant colony optimization with reptile search algorithm for churn prediction
The telecommunications industry is greatly concerned about customer churn due to
dissatisfaction with service. This industry has started investing in the development of …
dissatisfaction with service. This industry has started investing in the development of …
Telecom churn prediction system based on ensemble learning using feature grou**
T Xu, Y Ma, K Kim - Applied Sciences, 2021 - mdpi.com
In recent years, the telecom market has been very competitive. The cost of retaining existing
telecom customers is lower than attracting new customers. It is necessary for a telecom …
telecom customers is lower than attracting new customers. It is necessary for a telecom …
Study on convolutional neural network and its application in data mining and sales forecasting for E-commerce
H Pan, H Zhou - Electronic Commerce Research, 2020 - Springer
In recent years, the rapid development of e-commerce has brought great convenience to
people. Compared with traditional business environment, e-commerce is more dynamic and …
people. Compared with traditional business environment, e-commerce is more dynamic and …
An intelligent hybrid scheme for customer churn prediction integrating clustering and classification algorithms
Nowadays, customer churn has been reflected as one of the main concerns in the processes
of the telecom sector, as it affects the revenue directly. Telecom companies are looking to …
of the telecom sector, as it affects the revenue directly. Telecom companies are looking to …
Optimising customer retention: An AI-driven personalised pricing approach
Customer churn has become one of the most important challenges that telecom companies
have to deal with. Churn cases not only cause revenue losses but also impose extra costs of …
have to deal with. Churn cases not only cause revenue losses but also impose extra costs of …
[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 …