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CUSTOMER CHURN PREDICTION [PDF]
International Journal for Research in Engineering Application & ManagementOur work focuses on applying supervised machine learning techniques to anticipate bank client attrition. We created a straightforward and effective strategy that works with a variety of machine learning techniques. We tested many methods through tests and discovered that the Decision Tree strategy was the most effective in forecasting client attrition.
Lavina Anand Parulekar +3 more
core +9 more sources
A Customer Profiling Methodology for Churn Prediction [PDF]
, 2008 As markets have become increasingly saturated, companies have acknowledged that their business strategies need to focus on identifying those customers who are most likely to churn. To address this, a method is required that can identify these customers,
Hadden, John
core +7 more sources
Iraqi Journal for Computer Science and Mathematics, 2022 Due to the increasing competitiveness in telecom’s market, it has now become more necessary for operators to start building personal relationship with customers for targeted retention strategies.
Ayodeji O.J Ibitoye +3 more
doaj +1 more source
A Data-Driven Approach to Improve Customer Churn Prediction Based on Telecom Customer Segmentation
Future Internet, 2022 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 telecommunication companies.
Tianyuan Zhang +2 more
doaj +1 more source
INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT, 2023 Customers are becoming more drawn to the standard of service (QoS) offered by businesses in the present. However, the present day shows greater rivalry in offering clients technologically cutting-edge QoS. However, efficient communication systems may help the organization attract new clients, preserve client connections, and enhance client retention by
Rani, Dr. D. Esther +4 more
+4 more sources
Churn prediction in online gambling
CoRR, 2022 14 pages, 3 figures Submitted to Expert Systems with ...
Merchie, Florian, Ernst, Damien
openaire +3 more sources
Integrated Churn Prediction and Customer Segmentation Framework for Telco Business
IEEE Access, 2021 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 the telco industry.
Shuli Wu +3 more
doaj +1 more source
The Impact of Churn Labelling Rules on Churn Prediction in Telecommunications
Informatica, 2022 One of the biggest difficulties in telecommunication industry is to retain the customers and prevent the churn. In this article, we overview the most recent researches related to churn detection for telecommunication companies. The selected machine learning methods are applied to the publicly available datasets, partially reproducing the results of ...
Andrej Bugajev +3 more
openaire +1 more source
Predicting Customer Churn in Retailing
2022 21st IEEE International Conference on Machine Learning and Applications (ICMLA), 2022 INSiDR
Dirar Sweidan +3 more
openaire +3 more sources
Connection Science, 2022 Owing to saturated markets, fierce competition, dynamic criteria, along with introduction of new attractive offers, the considerable issue of customer churn was faced by the telecommunication industry.
R. Sudharsan, E. N. Ganesh
doaj +1 more source