Game data science / Magy Seif El-Nasr, Truong Huy Nguyen Dinh, Alessandro Canossa, Anders Drachen.

Author/creator El-Nasr, Magy Seif
Format Electronic
EditionFirst edition.
Publication InfoOxford, United Kingdom ; New York, NY : Oxford University Press, 2021.
Descriptionxvi, 397 pages : illustrations (some color) ; 24 cm
Supplemental ContentFull text available from Oxford Scholarship Online
Subjects

Other author/creatorNguyen, Truong-Huy D.
Other author/creatorCanossa, Alessandro.
Other author/creatorDrachen, Anders.
Other author/creatorOxford University Press.
Contents Game Data Science. An introduction -- Data preprocessing -- Introduction to statistics and probability theory -- Data abstraction -- Data analysis through visualization -- Clustering methods in Game Data Science -- Supervised learning in Game Data Science -- Supervised learning in Game Data Science. Model validation and evaluation -- Neural networks -- Sequence analysis of Game Data -- Advanced sequence analysis -- Case study. Social network analysis applied to in-game communities to identify key social players -- Conclusions and remarks -- Appendix A. Games used in the book.
Abstract "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.
Bibliography noteIncludes bibliographical references and index.
Access restrictionAvailable only to authorized users.
Technical detailsMode of access: World Wide Web
Genre/formElectronic books.
LCCN 2021932524
ISBN019289787X hardcover
ISBN9780192897879 hardback
ISBN0192897888 paperback
ISBN9780192897886 paperback

Availability

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Electronic Resources Access Content Online ✔ Available