Study of Association Rule Mining on Technical Action of Ball Games

摘要：

Association rule mining is an important topic in the field of Data Mining, which finds strong association rules by mining frequent item sets. Apriori algorithm is typical Boolean algorithm for mining association rules, which uses the method of iteration to create high-dimensional frequent item sets through low-dimensional ones. This paper introduces the design methods and technology realization of association rule mining by Apriori algorithm in technical action of ball games,after a simple description of ball scripting language design method. Then take the association rule mining on table tennis technical and tactical analysis system as an example. That gives the further evidence of the effectiveness of Apriori algorithm.And resolve the problem of association rule mining on technical movement of ball games.

关键词： Data mining Association rules Apriori algorithm Technical action analysis

作者: Sun Jing Yu Wenshuang Zhao Huiqun

作者单位: College of Information Engineering, North China Univ. of Tech., Beijing 100144, China

会议类型: 国际会议

会议名称: 2010 International Conference on Measuring Technology and Mechatronics Automation(ICMTMA 2010)(2010年检测技术与机电自动化国际会议)

会议地点: 长沙

会议语种:英文

页码: 2793-2796

在线出版日期: 2010-03-13（万方平台首次上网日期，不代表论文的发表时间）