Results 11 to 20 of about 2,799 (223)
Churn prediction of mobile and online casual games using play log data. [PDF]
PLoS ONE, 2017 Internet-connected devices, especially mobile devices such as smartphones, have become widely accessible in the past decade. Interaction with such devices has evolved into frequent and short-duration usage, and this phenomenon has resulted in a pervasive
Seungwook Kim +3 more
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Integrating generative AI and machine learning classifiers for solving heterogenous MCGDM: a case of employee churn prediction [PDF]
Scientific ReportsEmployee churn is a critical issue for companies and organizations, as it directly impacts productivity, efficiency, and overall operational success.
Hagar G. Abu-Faty +3 more
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Combining predictive accuracy and interpretability: a data-driven approach to telecom churn analysis [PDF]
Scientific ReportsAcquiring consumers is a challenge in the telecom industry since it reduces profits and slows growth. Customer churn prediction remains a pivotal challenge for telecommunications companies seeking to retain subscribers and sustain profitability in highly
Pankaj Hooda +4 more
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Churn Prediction for High-Value Players in Freemium Mobile Games: Using Random Under-Sampling [PDF]
Statistika: Statistics and Economy Journal, 2022 Many game development companies use game data analysis for mining insights about users' behaviour and possible product growth. One of the most important analysis tasks for game development is user churn prediction.
Guan-Yuan Wang
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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
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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
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A Stacking-Based Data Mining Solution to Customer Churn Prediction [PDF]
, 2022 In today’s competitive world, organizations are in a constant struggle to retain their current customers while attracting new customers through various methods. Customer churn is a major challenge in different industries and companies.
Seyyedamiri, N. +4 more
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Churn prediction in online gambling
CoRR, 2022 14 pages, 3 figures Submitted to Expert Systems with ...
Merchie, Florian, Ernst, Damien
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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
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Journal of Information and Organizational Sciences, 2022 No industry can thrive without customers and with customers comes the chances of customer churn. Since customer churn have direct-impact on the revenue, all the industries are focusing in understanding the factors influencing churn and are developing ...
Manish Mohan, Anil Jadhav
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