数据挖掘在足球运动中的应用  

Applying data mining techniques to football

作　　者：成孟金[1] 曹志宇[1] 

机构地区：[1]沈阳化工学院计算机科学与技术学院,辽宁沈阳110142

出　　处：《微型机与应用》2009年第21期68-69,73,共3页Microcomputer & Its Applications

摘　　要：数据挖掘是指从数据库的大量数据中揭示隐含的、先前未知的、潜在有用信息的非平凡的过程。使用可视化数据挖掘的技术从足球比赛的数据集中找到模式。这些模式可以在足球比赛中直接或间接地提供有益的见解,并在比赛中运用决策支持系统。Data mining is the process of finding new, potentially useful and non trivial knowledge from data. In this paper, visualization techniques has been used to find patterns in datasets from football games. Data mining is the process of finding new, potentially useful and non trivial knowledge from data. Football is the world＇s first sports and it is a very popular game, it has a rich source of data. In this paper, we will use visualization techniques to find patterns in datasets from football games. If these patterns can provide valuable insight to the people involved directly or indirectly in the match. Application would bc the development of a decision support system to be used during the match.

关 键 词：数据挖掘 可视化 模式 

分 类 号：TP274[自动化与计算机技术—检测技术与自动化装置]