基于兴趣度的高职课程关联规则挖掘OA
Association Rule Mining Based on the Interestingness About Vocational College Courses
研究关联规则数据挖掘，讨论兴趣度的概念，设计基于此概念的算法．以高职成绩数据库为处理对象，分析课程间的关联规则，并以兴趣度为约束条件，剔除具有欺骗性的无效关联，挖掘一些合理可靠的课程间有趣的关联规则，从而为高职课程设置和教学大纲的修订提供参考，同时也验证了算法的有效性．
This paper studies the association rules data mining, the concept of interestingness and algorithm design based on the concept. Taking vocational college＇s achievement database for processing object,this paper analyzes the association rules of courses; and with interestingness as constraint conditions, decep- tive invalid association rules are eliminated, and some reliable interesting association rules of courses are discovered. This paper provides ref…查看全部>>
董辉
毫州职业技术学院信息工程系,安徽毫州236800
计算机与自动化
数据挖掘关联规则兴趣度课程设置
data miningassociation rulesinterestingnesscourse-setting
《吉首大学学报：自然科学版》 2012 (3)
41-46,6
毫州职业技术学院自然科研基金资助项目（BYKll05）
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