Game Data Science: An Introduction

M. S. El-Nasr, Truong Huy Nguyen Dinh, Alessandro Canossa, Anders Drachen
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Abstract

This chapter introduces the topic of this book: Game Data Science. Game data science is the process of developing data-driven techniques and evidence to support decision-making across operational, tactical, and strategic levels of game development, and this is why it is so valuable. This chapter introduces this topic as well as outlines the process of game data science from instrumentation, data collection, data processing, data analysis, to reporting. Further, the chapter also discusses the application of game data science, as well as its utility and value, to the different stakeholders. The chapter also includes a section discussing the evolution of this process over time, which is important to situate the field and the techniques discussed in the book. The chapter also outlines established industry terminologies and defines their use in the industry and academia.
《游戏数据科学导论
本章介绍了本书的主题:游戏数据科学。游戏数据科学是开发数据驱动技术和证据的过程,以支持游戏开发的操作、战术和战略层面的决策,这就是为什么它如此有价值。本章介绍了这一主题,并概述了游戏数据科学的过程,从仪器、数据收集、数据处理、数据分析到报告。此外,本章还讨论了游戏数据科学的应用,以及它对不同利益相关者的效用和价值。本章还包括一节讨论这一过程随时间的演变,这是很重要的定位领域和技术在书中讨论。本章还概述了已建立的行业术语,并定义了它们在行业和学术界的使用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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