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A Study of Analyzing Realtime Strategy Game Data using Data Mining
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  • Journal title : Journal of Korea Game Society
  • Volume 15, Issue 4,  2015, pp.59-68
  • Publisher : Korea Game Society
  • DOI : 10.7583/JKGS.2015.15.4.59
 Title & Authors
A Study of Analyzing Realtime Strategy Game Data using Data Mining
Yong, Hye-Ryeon; Kim, Do-Jin; Hwang, Hyun-Seok;
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The progress in Information & Communication Technology enables data scientists to analyze big data for identifying peoples' daily lives and tacit preferences. A variety of industries already aware the potential usefulness of analyzing big data. However limited use of big data has been performed in game industry. In this research, we adopt data mining technique to analyze data gathered from a strategic simulation game. Decision Tree, Random Forest, Multi-class SVM, and Linear Regression techniques are used to find the most important variables to users' game levels. We provide practical guides for game design and usability based on the analyzed results.
Game Data;Big Data;Data Mining;Realtime Strategy Game;
 Cited by
Dong-Hyun Kim, Jeong-Sik Kim, Jin-Sung Choi, & Sang Yoon Lee, "The Current Status and Prospects of the Game Industry, The journal of Korea Institute of Electronics Engineers, Vol.27, No.9, pp.23-35, 2000.

Sunny Yoon, "When the Starcraft Launches on the Other Side of the Planet-An Ethnographic Study of the Network Game in Korea", Korean journal of journalism, Vol.45 No.2, pp.316-348, 2001.

Jae-Whan Sung, "The Prospects of Game Industries in Emerging Contents Economy System", Journal of Korea Game Society, Vol.1 No.1, pp.5-16, 2001.

Dae-Sok, Kwon. The Big Data Revolution, Book21, 2012.

Young Hwan Yong, "The Upcoming Age of Big Data", Korea institute of information technology review, Vol.10 No.3, pp.39-43, 2012.

Shaw, M. J., Subramaniam, C., Tan, G. W., & Welge, M. E. "Knowledge management and data mining for marketing", Decision Support System, Vol. 31, No.1, pp.127-137, 2001. crossref(new window)

Naver. Realtime Strategy Game, Doopedia.

Myungsoo Bae, & Young J. Kim, "The Status of Simulation Technology in Realtime Game Physics Engine", Journal of Digital Contents Society, Vol.6, No.1, pp.9-15, 2010.

Hye-Young Kim, & Young-Jong Im, "A Scheme for Efficient Synchronization on Real Time Strategy Games", Journal of Korea Game Society, Vol.10, No.3, pp.83-92, 2010.

Kwang-Ha, Eun, & Dong-Yeon Lee, "Research on the Game Interfaces of Usability and Immersion for Strategy Simulation Game", Journal of Korean Society of design science, No.46, pp.238-239, 2002.

Woo-Chang Park, Hyun-Woo Seung, Hwan Seung Yong, & Gi-Heon Choe. Data Mining Concepts and Techniques, Freedom Academy, 2003.

Chi-Hyeok Jeon. Data Mining Techniques, Hannarae, 2012.

MK, & SNU Big Data. Big Data World, MK book, 2014.

Drachen, A., & Canossa, A. "Towards gameplay analysis via gameplay metrics", Proceedings of the 13th international MindTrek conference, pp. 202-209, 2009.

Shin-Jin Kang, Seung-Ho Shin, & Sung-Hyun Cho, "A Game Level Design Technique Using the eGenetic Algorithms", Journal of the Korea computer graphics society, Vol.15, No.4, pp.13-21, 2009. crossref(new window)

Chung K Kim, Seung Bae Park, & Kyu Han Kim, "The Effect Online Game Loyalty and Word of Mouth:-On the Role of Brand Attractiveness and Brand Identification as a Mediating Variables-", Korea marketing review, Vol.18, No.3, pp.93-120, 2003.

Myoungyong Um, Taeung Kim, & Chungkoo Kim, "An Exploratory Study for Investigating Loyalty in On-line Games : Focus on Interactivity and the Sense of Presence", Korean management science, Vol.22, No.1, pp.47-66, 2005.

Bohannon, J., "Game-miners grapple with massive data", IEEE International Conference on Computational Intelligence and Games, Vol.330, pp.30-31, 2010.

Weber, B. G. John, M. Mateas, M. & Jhala, A., "Modeling player retention in Madden NFL 11", Proceedings of Innovative Applications of Artificial Intelligence Conference, 2011.

Salvucci, D. D., & Goldberg, J. H, "Identifying fixations and saccades in eye-tracking protocols", Proceedings of the 2000 symposium on Eye tracking research & applications, pp. 71-78, 2000.

Mi-Yeon Lee. Outstanding Frontier, Beautiful People, 2009.

Thompson JJ, Blair MR, Chen L, & Henrey A J, "Video Game Telemetry as a Critical Tool in the Study of Complex Skill Learning", PLoS ONE, Vol.8, No.9, 2013.

Chi-Hyeok Jeon. Data Mining Techniques, Hannarae, 2012.

Maldonado S, Weber R, & Basak. J, "Simultaneous Feature selection And classification using kernel-penalized support vector machines", Information Sciences, Vol. 181, No.1, pp.115-128, 2011. crossref(new window)

Guyon I, J Weston J, Bamhill S, & V Vapnik, "Gene selection for cancer classification using support vector machines", Machine learning, Vol. 46, No.1, pp.389-422, 2002. crossref(new window)