CAJ | 학술논문

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。
관련규칙알굴과정중시산법연구,홀시상업수구,사알굴결과흔난만족상업목표,제출기우행위분석적람구영역규률알굴모형。모형사용행위분석개념건립대알굴수거고,병차재정개알굴과정중이영역지식위기준,사용기술흥취도화상업흥취도상결합적방법래발현만족규칙평개표준적심도규칙。이중국남자람구직업련새( China Basketball Association, CBA)2012새계비새수거위례,진행실험화분석。실험결과표명료기우행위분석적람구영역규률알굴모형적유효성화실용성。
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 behav-ior of basketball domain rules.