Data Analytics Applications in Gaming and Entertainment
Data Analytics Applications Series
Coordinator: Wallner GünterLanguage: Anglais
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· 15.6x23.5 cm · Hardback
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.
Günter Wallner is Assistant Professor at the Eindhoven University of Technology and Senior Scientist at the University of Applied Arts Vienna. He holds a doctorate degree in natural sciences from the University of Applied Arts Vienna and a diploma degree in computer science from the Vienna University of Technology. His research interests lie at the intersection of games user research, data analytics, and information visualization. His work particularly centers on understanding player behavior in games and on researching methods to explore and communicate the collected data to derive actionable insights for game design and development. As a leading expert in game-data visualization, he is developing novel visualizations to support the analysis of the increasingly large-scale player behavioral datasets. Günter is an active member of the games research community, has published more than 60 peer-reviewed articles, and has received various awards and recognitions for his work on games.