• Journal of Korea Game Society
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• v.15 no.1
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• pp.185-198
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• 2015

The purpose of this study is to analyze representation of characters of AOS online-game in order to find out the meanings of ontological game characters. This study selects characters of on-line game to analyze representations of game characters by Pierre L$\acute{e}$vy's ontological theory. The characters which represented in on-line games reproduced by costume play in off-line world reflect human desire and construct human existence. Online game character is an existing substance, which could expand human experiences by crossing virtual game world and reality in digital era.

• The Journal of Bigdata
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• v.5 no.2
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• pp.231-240
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• 2020

With the development in the IT industry and the growth in the game industry, user's game data is recorded in seconds according to various plays and options, and a vast amount of game data can be analyzed based on Bigdata. Combined with business, Bigdata is used to discover new values for profit creation in various fields, but it is utilized in the game industry in insufficient ways. In this study, considering the characteristics of the subdivided lines, we constructed a win-loss prediction model for each line using the game data of League of Legends, and derived the importance of variables. This study can contribute to planning of strategies for general game users to get information about team members in advance and increase the win rate by using the record search sites.