Game data mining

Please use this identifier to cite or link to this item: https://www.um.edu.mt/library/oar/handle/123456789/29690

Title:	Game data mining
Other Titles:	Game analytics - maximizing the value of player data
Authors:	Drachen, Anders Thurau, Christian Togelius, Julian Yannakakis, Georgios N. Bauckhage, Christian
Keywords:	Video games--Data processing Data mining Game theory -- Computer programs
Issue Date:	2013
Publisher:	Springer
Citation:	Drachen, A., Thurau, C., Togelius, J., Yannakakis, G. N., & Bauckhage, C. (2013). Game data mining. In M. Seif, El-Nasr, A. Drachen, & A. Canossa (Eds.), Game analytics - maximizing the value of player data (pp. 205-253). London: Springer.
Abstract:	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.
URI:	https://www.um.edu.mt/library/oar//handle/123456789/29690
Appears in Collections:	Scholarly Works - InsDG

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