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 Review on Machine Learning Methods for Customer Churn Prediction and Recommendations for Business Practitioners
Due to market deregulation and globalisation, competitive environments in various sectors
continuously evolve, leading to increased customer churn. Effectively anticipating and …
continuously evolve, leading to increased customer churn. Effectively anticipating and …
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 …
Comprehensive review and classification of game analytics
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 …
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
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 …
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
Background A single generalizable metric that accurately predicts early dropout from digital
health interventions has the potential to readily inform intervention targets and treatment …
health interventions has the potential to readily inform intervention targets and treatment …
Customer lifetime value in video games using deep learning and parametric models
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 …
each player can remain in the game for years, this results in an exceptionally rich dataset …
Predicting game difficulty and churn without players
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 …
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
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 …
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 …
research groups have been granted limited access to game data so far. The reluctance of …