【摘要】 为充分发现高校资产数据的潜在价值,更好地为高校管理决策提供科学依据,对高校资产进行数据挖掘与分析,提出一种基于粗糙集理论的关联规则挖掘方法。利用结构化查询语言的条件信息熵属性约简算法进行属性约简,采用改进的Apriori算法进行关联规则挖掘。实验结果表明,该方法实现简单,运行效率高。更多还原

【Abstract】 With the help of data mining for university asset information,university management and decision can be made scientifically.To address the problem,a novel approach for mining association rules based on rough set theory is presented.It uses the conditional information entropy attributes reduction algorithm based on SQL language to reduce attributes,and applies the improved Apriori algorithm to mine association rules.Experimental results show that the approach can be easily realized taking advantage of database query language and is more efficient.It provides a better method by which rough set theory is used in university asset data mining.更多还原