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運用分類技術於線上遊戲勝負因素之分析 = Applying Classi...

國立高雄大學資訊管理學系碩士班

運用分類技術於線上遊戲勝負因素之分析 = Applying Classification Technique for Analyzing the Win/Lose Factors of Online Games

紀錄類型:	書目-語言資料,印刷品 : 單行本
並列題名:	Applying Classification Technique for Analyzing the Win/Lose Factors of Online Games
作者:	蘇豐凱,
其他團體作者:	國立高雄大學
出版地:	[高雄市]
出版者:	撰者;
出版年:	民102[2013]
面頁冊數:	67面圖，表格 : 30公分;
標題:	網路遊戲
標題:	Online-Game
電子資源:	http://handle.ncl.edu.tw/11296/ndltd/75555170880100822972
附註:	105年3月31日公開
附註:	參考書目：面55
摘要註:	隨著e時代的到來，年輕人對於網路遊戲非常著迷。本研究也將透過英雄聯盟這款網路遊戲，做為本研究之研究課題。因每位遊戲玩家，在每場遊戲過程中受影響的因素皆不相同。是以，本研究之研究目的，乃透過蒐集遊戲玩家於遊戲過程中受影響的因素，進行分類。並藉由貝氏網路分析及決策樹分析技術，進行資料探勘，分析透過這些因素是否能對於遊戲的勝負進行妥善的分類。再利用因素分析，發掘出影響遊戲勝負的關鍵因素。透過研究結果得知認識人數、遊戲地點、電腦型式及網路速度這四項因素，可能成為影響遊戲勝負的因素。 Accompanying with the arrival of e-age, youngsters are fascinated with online games tremendously. Via the online games "LOL", this study regarded it as the subject. It's neither the same of the factors that influencing every game-player, so the purpose of this study are collecting the factors which game players are effected with upon the game process and classifying, equally proceeding Data Mining through the analysis techniques of Bayesian Network and Decision Tree to assay whether these factors can proceed appropriately classifying with regard to the game's victory and defeat or not. Furthermore, this study utilizes factor-analysis to discover the key-factor influencing victory or defect. Through the result of this study, it's realized that these four factors, including the amount of acquaintances, the location where playing game, the type of computer and the speed of the internet, may being the factor influencing game's victory or defect.

運用分類技術於線上遊戲勝負因素之分析 = Applying Classification Technique for Analyzing the Win/Lose Factors of Online Games
蘇, 豐凱

運用分類技術於線上遊戲勝負因素之分析 = Applying Classification Technique for Analyzing the Win/Lose Factors of Online Games / 蘇豐凱撰 - [高雄市] : 撰者, 民102[2013]. - 67面 ; 圖，表格 ; 30公分.
105年3月31日公開參考書目：面55.
網路遊戲Online-Game

運用分類技術於線上遊戲勝負因素之分析 = Applying Classification Technique for Analyzing the Win/Lose Factors of Online Games
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