摘要
以世界优秀女子乒乓球运动员比赛的技战术统计资料为数据挖掘对象,采用技战术描述方法,利用智能数据采集软件对比赛技战术数据进行采集,对初采数据根据实战需要进行二次处理,尽可能使二次处理后的技战术指标能充分反映运动员的比赛状况。结果显示:利用序列模式挖掘的AprioriAll算法,挖掘高于用户指定阈值的最大致胜技战术序列,能清晰反映运动员得失分的连续击球技战术状态。
It used the technical and tactical statistics of the matches between the world topnoteh female table tennis players as data to dig out objectives, applied the method of describing technique and tactics and intellectual-faculty data-collecting software to collecting technical and tactical data of matches, and processed the initially collected data for the second time according to the need of actual combat, so that the technical and tactical index obtained after the second processing could reflect players' condition of matches as fully as possible. The results show that the algorithm of ApriorAll dug out with a sequential model and digging out the maximal win-resulting-in technical and tactical sequence higher than the limit value assigned by consumers can clearly reflect players' continuous ball-hitting technical and tactical state before they score or lose points.
出处
《上海体育学院学报》
CSSCI
北大核心
2008年第2期83-85,共3页
Journal of Shanghai University of Sport
基金
上海市科委自然科学基金资助项目