Data Analytics Applications in Gaming and Entertainment
by: Günter Wallner
Print Length 页数: 306 pages
Publisher finelybook 出版社: Auerbach Publications; 1 edition (4 July 2019)
Language 语言: English
ISBN-10: 1138104434
ISBN-13: 9781138104433
Book Description
The last decade has witnessed the rise of big data in game development as the increasing proliferation of Internet-enabled gaming devices has made it easier than ever before to collect large amounts of player-related data. At the same time,the emergence of new business models and the diversification of the player base have exposed a broader potential audience,which attaches great importance to being able to tailor game experiences to a wide range of preferences and skill levels. This,in turn,has led to a growing interest in data mining techniques,as they offer new opportunities for deriving actionable insights to inform game design,to ensure customer satisfaction,to maximize revenues,and to drive technical innovation. By now,data mining and analytics have become vital components of game development. The amount of work being done in this area nowadays makes this an ideal time to put together a book on this subject.
Data Analytics Applications in Gaming and Entertainment seeks to provide a cross section of current data analytics applications in game production. It is intended as a companion for practitioners,academic researchers,and students seeking knowledge on the latest practices in game data mining. The chapters have been chosen in such a way as to cover a wide range of topics and to provide readers with a glimpse at the variety of applications of data mining in gaming. A total of 25 authors from industry and academia have contributed 12 chapters covering topics such as player profiling,approaches for analyzing player communities and their social structures,matchmaking,churn prediction and customer lifetime value estimation,communication of analytical results,and visual approaches to game analytics. This book’s perspectives and concepts will spark heightened interest in game analytics and foment innovative ideas that will advance the exciting field of online gaming and entertainment.
Table of Contents
Preface
How This Book Is Organized
Acknowledgments
Editor
Contributors
1: A Brief Overview of Data Mining and Analytics in Games
2: Evaluating Gamer Achievements to Understand Player Behavior
3: Building Matchmaking Systems
4: A Data Science Approach to Exploring Hero Roles in Multiplayer
Online Battle Arena Games
5: Predicting Customer Lifetime Value in Free-to-Play Games
6: Advanced Data Science Models for Player Behavioral Prediction
Color Plates
7: Integrating Social and Textual Analytics into Game Analytics
8: Social Network Analysis Applied to Game Communities to
Identify Key Social Players
9: Methodological and Epistemological Reflections on the Use of
Game Analytics toward Understanding the Social Relationships of a
Video Game Community
10: An Analyst’s Guide to Communication
11: A Taxonomy of Visualizations for Gameplay Data
12: Co-Design of an Interactive Analytics System for Multiplayer
Online Battle Arena Game Occurrences
Index
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