توضیحات
ABSTRACT
The data revolution in games – and everywhere else – calls for analysis methods that scale to with dataset size. The solution: game data mining. Game data mining deals with the challenges of acquiring actionable insights from game telemetry. Read the chapter for an introduction to game data mining, an overview of methods commonly and not so commonly used, examples, case studies and a substantial amount of practical advice on how to employ game data mining effectively.
INTRODUCTION
During the years of the Information Age, technological advances in the computers, satellites, data transfer, optics, and digital storage has led to the collection of an immense mass of data on everything from business to astronomy, counting on the power of digital computing to sort through the amalgam of information and generate meaning from the data. Initially, in the 1970s and 1980s of the previous century, data were stored on disparate structures and very rapidly became overwhelming. The initial chaos led to the creation of structured databases and database management systems to assist with the management of large corpuses of data, and notably, the effective and ef fi cient retrieval of information from databases. The rise of the database management system increased the already rapid pace of information gathering. During later years, a virtually exponential increase in the availability of data is emerging in fi elds across industry and research, such as bio-informatics, social network analysis, computer vision and not the least digital games. Today, far more data is available than can be handled directly: business transaction data, scienti fi c data from, e.g., telescopes, satellite pictures, text reports, military intelligence and digital games (Berry and Linoff 1999 ; Han et al. 2005 ; Larose 2004 ; Kim et al. 2008 ; Isbister and Schaffer 2008 ; Mellon 2009 ; Drachen and Canossa 2009 ; Bohannon 2010 ) . Modern digital games range from simple applications to incredibly sophisticated information systems, but common for all of them is that need to keep track of the actions of players and calculate a response to them, as is discussed in most chapters in this book. In recent years, the tracking and logging of this information termed telemetry data in computer science – as well as data on technical performance of the game engines and applications themselves – has become widespread in the digital entertainment industry, leading to a wealth of incredibly detailed information about the behavior of – in the case of major commercial titles – millions of players and installed clients (Mellon 2009 ; King and Chen 2009 ; Drachen and Canossa 2011 ) .
Year: 2013
Publishe: Springer
By: Georgios N. Yannakakis, and Christian Bauckhage
File Information: English Language/ 49Page / size:905KB
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سال :2013
ناشر : Springer
کاری از : Georgios N. Yannakakis, and Christian Bauckhage
اطلاعات فایل : زبان انگلیسی / 49 صفحه / حجم : 905KB
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