Predicting Churn in Online Games by Quantifying Diversity of Engagement

Keyphrases

• Churn 100%
• Online Games 100%
• Engagement Patterns 100%
• Online Platform 50%
• Economic Consequences 50%
• Prediction Algorithms 50%
• Principal Coordinate Analysis (PCoA) 50%
• Machine Learning Algorithms 50%
• User Data 50%
• Real-world Application 50%
• Learning Framework 50%
• High Engagement 50%
• Engagement Levels 50%
• Overall Trends 50%
• Rule-based Algorithm 50%
• Unsupervised Learning 50%
• Online Social Networking Sites 50%
• User Engagement 50%
• Temporal Process 50%
• White-box 50%
• Game Type 50%
• Holy Grail 50%
• Game Online 50%
• Recreational Games 50%
• Black Box Machine Learning 50%
• Geometric Variability 50%
• Automatic Prediction 50%
• Academic Websites 50%
• Game User 50%

Computer Science

• Principal Components 100%
• Online Game 100%
• Machine Learning Algorithm 50%
• Learning Framework 50%
• Unsupervised Learning 50%
• Component Analysis 50%
• World Application 50%
• Online Social Networks 50%
• Online Platform 50%
• User Data 50%
• User Engagement 50%
• Rule Algorithm 50%