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http://dx.doi.org/10.7583/JKGS.2015.15.4.59

A Study of Analyzing Realtime Strategy Game Data using Data Mining  

Yong, Hye-Ryeon (Graduate School of Interaction Design, Hallym Univ.)
Kim, Do-Jin (Graduate School of Interaction Design, Hallym Univ.)
Hwang, Hyun-Seok (Division of Business, Hallym Univ.)
Publication Information
Journal of Korea Game Society / v.15, no.4, 2015 , pp. 59-68 More about this Journal
Abstract
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.
Keywords
Game Data; Big Data; Data Mining; Realtime Strategy Game;
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Times Cited By KSCI : 1  (Citation Analysis)
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