Abstract
Game Theory studies strategic situations where agents select different actions to maximize their returns. Game Theory has recently drawn attention from computer scientists because of its use in artificial intelligence and cybernetics. This paper presents a frame work of integrating Data Mining with Game Theory. Due to the reason of huge 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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© 2006 International Federation for Information Processing
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Wang, Y. (2006). Integration of Data Mining with Game Theory. In: Wang, K., Kovacs, G.L., Wozny, M., Fang, M. (eds) Knowledge Enterprise: Intelligent Strategies in Product Design, Manufacturing, and Management. PROLAMAT 2006. IFIP International Federation for Information Processing, vol 207. Springer, Boston, MA . https://doi.org/10.1007/0-387-34403-9_38
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DOI: https://doi.org/10.1007/0-387-34403-9_38
Publisher Name: Springer, Boston, MA
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