[HTML][HTML] 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 …
[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 …
[HTML][HTML] A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection
Customer churn is one of the most critical issues faced by the telecommunication industry
(TCI). Researchers and analysts leverage customer relationship management (CRM) data …
(TCI). Researchers and analysts leverage customer relationship management (CRM) data …
An adaptive learning approach for customer churn prediction in the telecommunication industry using evolutionary computation and Naïve Bayes
Customer churn is a complex challenge for burgeoning competitive organizations,
especially in telecommunication. It refers to customers that swiftly leave a company for a …
especially in telecommunication. It refers to customers that swiftly leave a company for a …
A Novel Hybrid Forecasting Approach for Customers Churn in Banking Industry
S Rouhani, A Mohammadi - Journal of Information & Knowledge …, 2023 - World Scientific
Competitive markets and customers' changing needs in the bank industry necessitate
accurately predicting customers who may leave the firm in the near future. Consequently …
accurately predicting customers who may leave the firm in the near future. Consequently …
[HTML][HTML] A hybrid swarm intelligent neural network model for customer churn prediction and identifying the influencing factors
H Faris - Information, 2018 - mdpi.com
Customer churn is one of the most challenging problems for telecommunication companies.
In fact, this is because customers are considered as the real asset for the companies …
In fact, this is because customers are considered as the real asset for the companies …
[HTML][HTML] 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 …
[HTML][HTML] Deep churn prediction method for telecommunication industry
Being able to predict the churn rate is the key to success for the telecommunication industry.
It is also important for the telecommunication industry to obtain a high profit. Thus, the …
It is also important for the telecommunication industry to obtain a high profit. Thus, the …
Artificial intelligence based customer churn prediction model for business markets
J Faritha Banu, S Neelakandan… - Computational …, 2022 - Wiley Online Library
The introduction of artificial intelligence (AI) and machine learning (ML) technologies in
recent years has resulted in improved company performance. Customer churn forecast is a …
recent years has resulted in improved company performance. Customer churn forecast is a …
[HTML][HTML] Customer churn prediction using composite deep learning technique
A Khattak, Z Mehak, H Ahmad, MU Asghar… - Scientific Reports, 2023 - nature.com
Customer churn, a phenomenon that causes large financial losses when customers leave a
business, makes it difficult for modern organizations to retain customers. When dissatisfied …
business, makes it difficult for modern organizations to retain customers. When dissatisfied …