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Data Mining in Computer Games
PrjCFUMax 20  +
PrjCFUMin 5  +
PrjDescription Today a lot of data can be extracted from … Today a lot of data can be extracted from popular games. The analysis of such data allow to discover a lot of interesting information about players, the game and the interaction between the game and different type of players. Several theses and projects are available on this topic and involve different games: TORCS, Unreal Tournament and Quake Live. Please contact us for additional information. ;References * TORCS (http://torcs.sourceforge.net/) *QuakeLive (http://www.quakelive.com) *Daniele Loiacono's AI&R Lab Projects (http://home.dei.polimi.it/loiacono/uploads/Teaching/HomePage/AIRLab_AA20092010.pdf) s/Teaching/HomePage/AIRLab_AA20092010.pdf)
PrjImage Image:QLive.png  +
PrjLevel Bachelor of Science + , Master of Science +
PrjResArea Computational Intelligence and Games +
PrjResTopic Computational Intelligence and Games +
PrjStarts 1 October 2009  +
PrjStatus Closed  +
PrjStudMax 2  +
PrjStudMin 1  +
PrjTitle Data Mining in Computer Games  +
PrjTutor User:DanieleLoiacono +
PrjType Course + , Thesis +
Categories ProjectProposal  +
Modification¬†dateThis property is a special property in this wiki. 28 April 2011 16:04:56  +
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