Data Analytics Applications in Gaming and Entertainment: 1st Edition (Hardback) book cover

Data Analytics Applications in Gaming and Entertainment

1st Edition

Edited by Günter Wallner

Auerbach Publications

288 pages

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Hardback: 9781138104433
pub: 2019-07-04
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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.

Table of Contents

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.

About the Editor

Günter Wallner is 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 span the fields of Games Research, Data Analytics, Information Visualization, and HCI. Günter’s current research focuses on the analysis and visualization of game telemetry data to derive actionable insights for driving game design – a topic on which he has published numerous articles in international journals and conference proceedings, such as Computers & Graphics, Entertainment Computing, SIGCHI, CHIPLAY, FDG, and ACE. He also serves regularly on a number of program committees, mainly for gamerelated conferences.

About the Series

Data Analytics Applications

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Subject Categories

BISAC Subject Codes/Headings:
COMPUTERS / Computer Graphics
COMPUTERS / Database Management / Data Mining
REFERENCE / Yearbooks & Annuals