Customer churn prediction system: a machine learning approach
The customer churn prediction (CCP) is one of the challenging problems in the telecom
industry. With the advancement in the field of machine learning and artificial intelligence, the …
industry. With the advancement in the field of machine learning and artificial intelligence, the …
A comparison of machine learning techniques for customer churn prediction
We present a comparative study on the most popular machine learning methods applied to
the challenging problem of customer churning prediction in the telecommunications industry …
the challenging problem of customer churning prediction in the telecommunications industry …
Customer churn prediction in telecommunication industry using data certainty
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 …
machine learning community because most of the time, churn and non-churn customers …
[PDF][PDF] A survey on customer churn prediction in telecom industry: Datasets, methods and metrics
V Umayaparvathi, K Iyakutti - International Research Journal of …, 2016 - academia.edu
In this competitive world, business is becoming highly saturated. Especially, the field of
telecommunication faces complex challenges due to a number of vibrant competitive service …
telecommunication faces complex challenges due to a number of vibrant competitive service …
Customer churn prediction in the telecommunication sector using a rough set approach
Customer churn is a critical and challenging problem affecting business and industry, in
particular, the rapidly growing, highly competitive telecommunication sector. It is of …
particular, the rapidly growing, highly competitive telecommunication sector. It is of …
A survey on churn analysis in various business domains
In this paper, we present churn prediction techniques that have been released so far. Churn
prediction is used in the fields of Internet services, games, insurance, and management …
prediction is used in the fields of Internet services, games, insurance, and management …
A data-driven approach to improve customer churn prediction based on telecom customer segmentation
Numerous valuable clients can be lost to competitors in the telecommunication industry,
leading to profit loss. Thus, understanding the reasons for client churn is vital for …
leading to profit loss. Thus, understanding the reasons for client churn is vital for …
Customer switching behavior analysis in the telecommunication industry via push-pull-mooring framework: A machine learning approach
Customer retention is one of the key challenges in the telecommunication industry.
Companies may find customer churn prediction to be vital to the success of their operations …
Companies may find customer churn prediction to be vital to the success of their operations …
Arithmetic optimization with ensemble deep learning SBLSTM-RNN-IGSA model for customer churn prediction
Companies in a wide variety of industries use the customer churn prediction (CCP) process
to keep their current clientele happy. Insurance companies need to be able to forecast churn …
to keep their current clientele happy. Insurance companies need to be able to forecast churn …
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 …