Games have been used with astounding success to describe diverse situations where one or more entities (players) interact with each other according to various rules. As the concept is encompassing, it is very flexible and that is the reason why applications range from the social sciences and economics to biology and mathematics or computer science. This makes the game theoretic computation very complicated. This research work presents a frame work which integrates Game Theory with Data Mining. Due to enormous amount of data, it is hard for Game Theory alone to perform the modeling analysis. Data mining assists Game Theory to deal with the large amount of data and finds hidden rules to improve game analysis.
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