A survey on churn analysis in various business domains

J Ahn, J Hwang, D Kim, H Choi, S Kang - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

A Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners

A Manzoor, MA Qureshi, E Kidney, L Longo - IEEE Access, 2024 - ieeexplore.ieee.org
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …

A data-driven approach to improve customer churn prediction based on telecom customer segmentation

T Zhang, S Moro, RF Ramos - Future Internet, 2022 - mdpi.com
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 …

Comprehensive review and classification of game analytics

Y Su, P Backlund, H Engström - Service Oriented Computing and …, 2021 - Springer
As a business model, the essence of games is to provide a service to satisfy the player
experience. From a business perspective, development in the game industry has led to the …

Swarm intelligence goal-oriented approach to data-driven innovation in customer churn management

J Kozak, K Kania, P Juszczuk, M Mitręga - International journal of …, 2021 - Elsevier
One type of data-driven innovations in management is data-driven decision making.
Confronted with a big amount of data external and internal to their organization's managers …

[HTML][HTML] Can a single variable predict early dropout from digital health interventions? Comparison of predictive models from two large randomized trials

J Bricker, Z Miao, K Mull, M Santiago-Torres… - Journal of medical …, 2023 - jmir.org
Background A single generalizable metric that accurately predicts early dropout from digital
health interventions has the potential to readily inform intervention targets and treatment …

Customer lifetime value in video games using deep learning and parametric models

PP Chen, A Guitart, AF del Río… - 2018 IEEE international …, 2018 - ieeexplore.ieee.org
Nowadays, video game developers record every virtual action performed by their players. As
each player can remain in the game for years, this results in an exceptionally rich dataset …

Predicting game difficulty and churn without players

S Roohi, A Relas, J Takatalo, H Heiskanen… - Proceedings of the …, 2020 - dl.acm.org
We propose a novel simulation model that is able to predict the per-level churn and pass
rates of Angry Birds Dream Blast, a popular mobile free-to-play game. Our primary …

Model optimization analysis of customer churn prediction using machine learning algorithms with focus on feature reductions

SM Sina Mirabdolbaghi, B Amiri - Discrete Dynamics in Nature …, 2022 - Wiley Online Library
Currently, Customers are struggling to retain their business in today's competitive markets.
Thus, the issue of customer churn becomes a significant challenge for the industries. In …

Game data mining competition on churn prediction and survival analysis using commercial game log data

E Lee, Y Jang, DM Yoon, JH Jeon… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Game companies avoid sharing their game data with external researchers. Only a few
research groups have been granted limited access to game data so far. The reluctance of …