基于行为分析的篮球领域规律挖掘的应用研究  

Basketball Domain Rule Mining Application Research Based on Behaviour Analysis

作　　者：马萌[1] 于重重[1] 陈钧[2] 郭雪[1] 

机构地区：[1]北京工商大学计算机与信息工程学院,北京100048 [2]首都体育学院教务处,北京100088

出　　处：《计算机仿真》2014年第5期369-372,共4页Computer Simulation

基　　金：北京市教育委员会专业建设资助项目(PXM2009_014206_077155)

摘　　要：关联规则挖掘过程重视算法研究,忽视商业需求,使挖掘结果很难满足商业目标,提出基于行为分析的篮球领域规律挖掘模型。模型使用行为分析概念建立待挖掘数据库,并且在整个挖掘过程中以领域知识为基准,使用技术兴趣度和商业兴趣度相结合的方法来发现满足规则评价标准的深度规则。以中国男子篮球职业联赛(China Basketball Association,CBA)2012赛季比赛数据为例,进行实验和分析。实验结果表明了基于行为分析的篮球领域规律挖掘模型的有效性和实用性。To deal with the problems of attaching importance to algorithm research and ignoring the business needs in association rule mining and leading to the mining results that it is difficult to meet business objectives, a mining model based on the analysis of behavior of the basketball domain rule was proposed. We used the concept of behavior analysis to set up mining database. The whole mining process was based on domain knowledge, using the method which combines the degrees of technical interest and commercial interest in order to find the deep rules that meet the evaluation criteria. According to the game stats of season 2012 in CBA, some experiments and analysis were carried out. The results demonstrate the effectiveness and practicality of the mining model based on the analysis of the behavior of basketball domain rules.

关 键 词：篮球规律 行为分析 领域挖掘 关联规则 评价标准 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]