Better Game Design using Association Analysis
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Abstract
Decades of computer game playing has resulted in the generation of vast amounts of data in the form of players’ preferences and habits of game-playing. This gives an opportunity to game designers to extract knowledge from such data and leverage that knowledge to design games that players would be extremely interested in. Better Game Design using Association Analysis is a new application of data mining, applied to the art of game design. This paper aims to determine whether Association Analysis applied to a player database would provide game designers with meaningful rules that would help improve the design of the game. A data set of game-players’ habits and preferences is collected from St. Francis Institute of Technology, Mumbai, and subjected to the Apriori algorithm. The database contains various aspects of game design that users would like to experience in the games they play. The rules generated from association analysis would be of tremendous benefit to the Game Design industry, as they can then use them to design profitable games.
Keywords: Association analysis, Apriori algorithm, Game design, Strong rules.
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