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The Data Game

The Data Game
Author: Mark Maier
Publisher: Routledge
Total Pages: 288
Release: 2014-12-18
Genre: Business & Economics
ISBN: 1317457544
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This book introduces students to the collection, uses, and interpretation of statistical data in the social sciences. It would suit all social science introductory statistics and research methods courses. Separate chapters are devoted to data in the fields of demography, housing, health, education, crime, the economy, wealth, income, poverty, labor, business statistics, and public opinion polling, with a concluding chapter devoted to the common problem of ambiguity. Each chapter includes multiple case studies illustrating the controversies, overview of data sources including web sites, chapter summary and a set of case study questions designed to stimulate further thought.

The Data Game

The Data Game
Author:
Publisher: M.E. Sharpe
Total Pages: 354
Release:
Genre: Social problems
ISBN: 9780765640611
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Updated for web-based research, this text introduces students to the collection, use and interpretation of statistical data in the social sciences. Separate chapters are on the fields of demography, housing, health, education, crime, economy, labour, poverty, government and public opinion polling.

Game Data Science

Game Data Science
Author: Magy Seif El-Nasr
Publisher: Oxford University Press
Total Pages: 414
Release: 2021
Genre: Computers
ISBN: 019289787X
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"Game Data Science delivers a thorough introduction to this new domain and serves as a definitive guide to the methods and practices of computer science, analytics, and data science as applied to video games. It is the ideal resource for professional learners and students seeking to understand how data science is used within the game development and production cycle, as well as within the interdisciplinary field of games research." -- back cover.

Data Analytics Applications in Gaming and Entertainment

Data Analytics Applications in Gaming and Entertainment
Author: Günter Wallner
Publisher: CRC Press
Total Pages: 237
Release: 2019-07-11
Genre: Computers
ISBN: 1000008703
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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.

Game Analytics

Game Analytics
Author: Magy Seif El-Nasr
Publisher: Springer Science & Business Media
Total Pages: 792
Release: 2013-03-30
Genre: Computers
ISBN: 1447147693
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Developing a successful game in today’s market is a challenging endeavor. Thousands of titles are published yearly, all competing for players’ time and attention. Game analytics has emerged in the past few years as one of the main resources for ensuring game quality, maximizing success, understanding player behavior and enhancing the quality of the player experience. It has led to a paradigm shift in the development and design strategies of digital games, bringing data-driven intelligence practices into the fray for informing decision making at operational, tactical and strategic levels. Game Analytics - Maximizing the Value of Player Data is the first book on the topic of game analytics; the process of discovering and communicating patterns in data towards evaluating and driving action, improving performance and solving problems in game development and game research. Written by over 50 international experts from industry and research, it covers a comprehensive range of topics across more than 30 chapters, providing an in-depth discussion of game analytics and its practical applications. Topics covered include monetization strategies, design of telemetry systems, analytics for iterative production, game data mining and big data in game development, spatial analytics, visualization and reporting of analysis, player behavior analysis, quantitative user testing and game user research. This state-of-the-art volume is an essential source of reference for game developers and researchers. Key takeaways include: Thorough introduction to game analytics; covering analytics applied to data on players, processes and performance throughout the game lifecycle. In-depth coverage and advice on setting up analytics systems and developing good practices for integrating analytics in game-development and -management. Contributions by leading researchers and experienced professionals from the industry, including Ubisoft, Sony, EA, Bioware, Square Enix, THQ, Volition, and PlayableGames. Interviews with experienced industry professionals on how they use analytics to create hit games.

The Data Game

The Data Game
Author: Mark H. Maier
Publisher: Routledge
Total Pages: 295
Release: 1995
Genre: Social Science
ISBN: 9781563244827
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"Fills the need for a companion text to introductory statistics courses on the collection and use of social science data". -- Reference & Research Book News

The Data Game

The Data Game
Author: Mark H. Maier
Publisher:
Total Pages: 309
Release: 2015
Genre: Social problems
ISBN:
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Data Privacy Games

Data Privacy Games
Author: Lei Xu
Publisher:
Total Pages: 181
Release: 2018
Genre: Data mining
ISBN: 9783319779669
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With the growing popularity of "big data", the potential value of personal data has attracted more and more attention. Applications built on personal data can create tremendous social and economic benefits. Meanwhile, they bring serious threats to individual privacy. The extensive collection, analysis and transaction of personal data make it difficult for an individual to keep the privacy safe. People now show more concerns about privacy than ever before. How to make a balance between the exploitation of personal information and the protection of individual privacy has become an urgent issue. In this book, the authors use methodologies from economics, especially game theory, to investigate solutions to the balance issue. They investigate the strategies of stakeholders involved in the use of personal data, and try to find the equilibrium. The book proposes a user-role based methodology to investigate the privacy issues in data mining, identifying four different types of users, i.e. four user roles, involved in data mining applications. For each user role, the authors discuss its privacy concerns and the strategies that it can adopt to solve the privacy problems. The book also proposes a simple game model to analyze the interactions among data provider, data collector and data miner. By solving the equilibria of the proposed game, readers can get useful guidance on how to deal with the trade-off between privacy and data utility. Moreover, to elaborate the analysis on data collector's strategies, the authors propose a contract model and a multi-armed bandit model respectively. The authors discuss how the owners of data (e.g. an individual or a data miner) deal with the trade-off between privacy and utility in data mining. Specifically, they study users' strategies in collaborative filtering based recommendation system and distributed classification system. They built game models to formulate the interactions among data owners, and propose learning algorithms to find the equilibria.

Game Data Analysis - Tools and Methods

Game Data Analysis - Tools and Methods
Author: Coupart Thibault
Publisher:
Total Pages: 0
Release: 2013
Genre: Computer games
ISBN: 9781849697903
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"This book features an introduction to the basic theoretical tenets of data analysis from a game developer's point of view, as well as a practical guide to performing gameplay analysis on a real-world game. This book is ideal for video game developers who want to try and experiment with the game analytics approach for their own productions. It will provide a good overview of the themes you need to pay attention to, and will pave the way for success. Furthermore, the book also provides a wide range of concrete examples that will be useful for any game data analysts or scientists who want to impro".-From Publisher.