计算机与现代化 ›› 2010, Vol. 1 ›› Issue (11): 149-151,.doi: 10.3969/j.issn.1006-2475.2010.11.042
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蒙晓净
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MENG Xiao-jing
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摘要： 在“智能化运动训练计划系统”的使用过程中，系统数据库中的历史数据将会日益增加，人们是否能够对这些非常有价值的历史数据进行利用并发现与训练手段相关的隐含知识，从而更好地辅助用户完成训练计划的制定，成为一个关注的问题。本文以粗糙集理论为基础，阐述如何对历史数据进行统计处理，提出一种对历史数据进行知识发现的方法。最后以实例说明该方法所发现的知识具有重要实际意义。
关键词: 运动训练计划系统, 训练手段, 竞技状态, 粗糙集, 知识发现
Abstract: In using the intelligent training planning system, the historical data in the system database will be increased day by day. Whether people can make use of these valuable data and discover some implicit knowledge of training methods, to better assist the user to complete the training plan, which has become a concern. Based on roughset theory, how to process the historical data is explained, and a knowledge discovery method for the historical data is presented. Finally, it gives a example to illustrate the knowledge discovered by this method has great practical significance.
Key words: training planning system, training measure, athlete performance, rough set, knowledge discovery
中图分类号:
TP311.52
蒙晓净. 基于粗糙集的运动训练计划系统知识发现方法[J]. 计算机与现代化, 2010, 1(11): 149-151,.
MENG Xiao-jing. Knowledge Discovery Method in Training Planning System Based on Rough Set[J]. Computer and Modernization, 2010, 1(11): 149-151,.
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http://www.c-a-m.org.cn/CN/Y2010/V1/I11/149
