| 基于关联规则挖掘的运动员体能指标优化分析 |
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| 引用本文： | 戴敏,唐树刚. 基于关联规则挖掘的运动员体能指标优化分析[J]. 天津理工大学学报, 2001, 17(3): 76-79 |
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| 作者姓名： | 戴敏 唐树刚 |
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| 作者单位： | 天津理工学院计算机科学与工程系 |
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| 摘 要： | 数据挖掘就是利用机器学习的方法从大量数据中提取有价值知识的过程.本文以运动员体能测试数据为分析对象,研究应用数据挖掘技术解决运动员体能指标优化分析问题的方法.文中重点介绍了关联规则挖掘的原理与方法,提出并实现了适宜于网球运动员体能指标优化分析的算法,并进行了实际应用,发现了出乎常规的规律.
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| 关 键 词： | 数据挖掘 算法 关联规则 |
| 文章编号： | 1004-2261(2001)03-076-04 |
| 修稿时间： | 2001-06-25 |
Optimizing analysis of physical ability target for athlete based on association rules |
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| DAI Min,TANG Shu gang. Optimizing analysis of physical ability target for athlete based on association rules[J]. Journal of Tianjin University of Technology, 2001, 17(3): 76-79 |
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| Authors: | DAI Min TANG Shu gang |
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| Abstract: | Data Mining(DM)is a process of the extraction of valuable knowledge, previously unknown and potentially useful information from data in databases. In this paper, DM techniques are used in order to analyze the data of physical ability for athletes. Basic principles, methods and typical algorithms for association rules are discussed. An adjusted algorithm is developed and used for optimizing the target of physical ability of tennis athletes.Experimental results validate these works. |
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| Keywords: | data mining algorithm association rule |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
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