Game Analytics

pp 205-253


Game Data Mining

  • Anders DrachenAffiliated withPLAIT Lab, Northeastern UniversityDepartment of Communication and Psychology, Aalborg UniversityGame Analytics Email author 
  • , Christian ThurauAffiliated withGame Analytics
  • , Julian TogeliusAffiliated withCenter for Computer Games Research, IT University of Copenhagen
  • , Georgios N. YannakakisAffiliated withCenter for Computer Games Research, IT University of CopenhagenDepartment of Digital Games, University of Malta
  • , Christian BauckhageAffiliated withFraunhofer Institute Intelligent Analysis and Information Systems IAIS, Schloss BirlinghovenBonn-Aachen International Center for Information Technology, B-IT Dahlmannstraße 2

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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 efficient retrieval of information from databases. The rise of the database management system increased the already rapid pace of information gathering.