Over the last decade big data and data mining has received growing interest and importance in game production to process and draw actionable insights from large volumes of player-related data in order to inform game design, to ensure customer satisfaction, to maximize revenues, and to drive technical innovation. This volume seeks to provide a comprehensive overview of data mining applications pertaining to various aspects of game production, including game analytics, games user research, and artificial intelligence. It covers topics such as player behavior analysis and profiling, retention analysis, visualization, as well as data-driven artificial intelligence and content generation.
Part 1 – Introduction to game data mining.
Part 2 – Data mining for games user research.
Part 3 – Data mining for game technology.
Part 4 – Visualization of large-scale game data.