网球基础训练数据的粒计算方法研究

A Study of Tennis Training Data Mining Based on Granular Computing Approaches

本文提出网球基础训练数据采集与挖掘的粒计算方法。首先介绍了有针对性的数据采集方法。其次分析了网球训练数据特性的分类方法、粒关联规则挖掘方法、属性选择方法和代价敏感学习方法。最后指出了这些方法涉及的科学技术问题,并给出了可行的解决方案。

This paper discusses tennis training data mining based on granular computing approaches.First,an active data acquisition approach is introduced.Then,a number of methods are proposed to deal with tennis training data classification,granular association rule mining,feature selection and cost sensitive learning.Finally,some key issues are identified and respective solutions are indicated.