Work

Customer Churn Prediction in Telecommunication Industry Using Data Certainty

Year: 2020

Type: article

Abstract: Customer churn is a major problem affecting large companies, especially in telecommunication field. So the telecom industries have to take the necessary steps to retain their customers, to maintain their market value. So companies are seeking to develop methods that predict potential churned customers. We have to find out the factors that increase customer churn for making necessary actions to reduce churn. In the past, different data mining techniques have been used for predicting the churners. Here the most popular machine learning algorithms used for churn predicting are analysed. The conclusions are stated with the help of suitable tables.

Source: International Journal of Scientific Research in Science Engineering and Technology

DOI: 10.32628/ijsrset207142

Authors: V R Reji Raj, Rasheed Ahammed Azad .V

Language: English

Topic: Customer churn and segmentation

Subfield: Marketing

Field: Business, Management and Accounting

Domain: Social Sciences

Open Access status: diamond

OpenAlex ID: W3010430441

FWCI: 3.092

Cites: 11

Cited by: 16

Related to: 10