论文摘要英文翻译(请勿机器翻译) 谢谢!

来源:百度知道 编辑:UC知道 时间:2024/06/24 08:50:31
【摘要】目前,在各种比赛评分的活动中,特别是在那些评委的评分对比赛的结果产生严重影响的活动中,普遍存在的问题是评委的公正性由于没有普遍的评判标准,选手和观众往往会对比赛的公正性产生质疑,同时个别评委往往会受到个人喜好的影响而无法发觉。对于人们对评委的打分与比赛的公正性之间的联系往往无法了解,使得比赛的数据还不能发挥它应有的作用。如何利用这些数据理性地分析评委受个人喜好的影响程度是每个比赛举办者共同关心的问题。数据挖掘技术正是解决这个问题的可行而有效的方法,本文讨论了数据挖掘技术在评委打分这一海量数据中的应用,力图通过分类挖掘,得出评委公正度的评判标准,对比赛公正性的提高起到积极的促进作用。其中重点介绍了使用ID3决策树算法生成决策树分析评委的公正度与哪些因素有关,由决策树产生分类规则,完成了评委的公正度的分析决策树模型的建立。
【能在机器翻译的基础上加以调整,使其通顺】希望有英文高手相助!

Abstract: At present, the match score in a variety of activities, especially in the judges score the game have a serious impact on the results of the activities, the prevailing question the impartiality of the judges is the absence of universal standards of judgement, Players and spectators are often the fairness of the competition will have a challenge, and individual judges are often subject to personal preferences will not find that the impact. For the people of the judges scoring the competition and fairness of the links between the often unable to understand that competition makes the data still can not play its due role. How to make use of rational analysis of these data by the personal preferences of the judges the impact of each competition is held to issues of common concern. Data mining technology to solve this problem is a viable and effective method, the paper discussed the data mining technology in the judges scoring the massive data in the application, in a bid to tap