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Data Mining in Online Social Games

  • Nazneen Ansari
  • Maahi Talreja
  • Vaishali Desai
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 174)

Abstract

For thousands of years, people have been playing games of chance or wagering on the outcomes of various games and events. As a medium, the computer game is currently in a period of rapid development. From a design point of view, video games are becoming more complex and they are rapidly spreading to new platforms such as mobile phones, pocket computers, and websites. This paper aims to determine whether Association mining algorithm applied to an online social games database would provide the game designers with meaningful rules that would help improve the design of the game. A data set of online social gamer profile was created. The database contains various aspects of social games. The rules generated from association analysis would be of tremendous benefit to the gaming industry, as they can then use them to optimize game design features.

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Copyright information

© Springer India 2013

Authors and Affiliations

  1. 1.St. Francis Institute of TechnologyMumbaiIndia

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