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Game Data Science - Oxford Scholarship Online
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Game Data Science

Magy Seif El-Nasr, Alessandro Canossa, Truong-Huy D. Nguyen, and Anders Drachen

Abstract

This book is aimed at giving readers an introduction to the practical side of game data science and thus can be used a textbook for game analytics or game user research class or as a reference to self learners and enthusiasts. Game data science is a term that we use to denote a process composed of methods and techniques by which an analyst or a data scientist can make sense of data to allow decision makers in a game company to make informed decisions. This process involves: statistical analysis, visualization, abstraction of low-level data, machine learning and sequence data modeling. The book ... More

Keywords: Game data science, game visualization, game analytics, player modeling

Bibliographic Information

Print publication date: 2021 Print ISBN-13: 9780192897879
Published to Oxford Scholarship Online: November 2021 DOI:10.1093/oso/9780192897879.001.0001

Authors

Affiliations are at time of print publication.

Magy Seif El-Nasr, author
Professor and Vice Chair of Serious Games, University of California at Santa Cruz

Alessandro Canossa, author
Professor, The Royal Danish Academy of Fine Arts Schools of Architecture, Design and Conservation

Truong-Huy D. Nguyen, author
Software Engineer, Google

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