Abstract: Association rule analysis is an important function in data mining techniques. From decreasing scanning affairs, this paper presents and proves an algorithm to improve the Apriori algorithm. Using this novel algorithm, it mines the association rules of medical scientific research projects management system, analyzes the rules, and discusses the reasonableness about the system of projects management.

摘要： 关联规则分析是数据挖掘技术中一项非常重要的功能,该文从减少扫描的事务数,给出了一个Apriori算法的改进算法,能有效地提高原Apriori算法的时间效率。利用改进的Apriori算法对科研立项管理挖掘信息数据库进行关联关系分析,通过分析挖掘到的规则对医学科研立项管理工作中的合理性进行了评价。

关键词: 数据挖掘, 关联规则, 科研立项评估

CLC Number: 

• TP311.13