Data Mining in Online Social Games
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.
Unable to display preview. Download preview PDF.
- 1.Vamanan, R., Ramar, K.: Classification of Agricultural Land Soils: A Data Mining Approach. International Journal on Computer Science and Engineering 3(1), 379–384 (2011) ISSN : 0975-3397 Google Scholar
- 2.Dodlinger, M.: Educational Video Game Design: A Survey of the Literature. Journal of Applied Educational Technology 4(1), 21–31 (2007)Google Scholar
- 3.Agrawal, R., Imielinski, T., Swami, A.N.: Mining association rules between sets of items in large databases. In: Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data, pp. 207–216 (1993)Google Scholar
- 4.Kotsiantis, S., Kanellopoulos, D.: Association Rules Mining: A Recent Over view. GESTS International Transactions on Computer Science and Engineering 32(1), 71–82 (2006)Google Scholar
- 5.Anu Radha, T., Lavanya, P.: Recent Trends in Parallel and Distributed Apriori Algorithm. International Journal of Engineering Research and Applications 1(4), 1820–1822Google Scholar