摘要
对关联规则经典算法Apriori及改进算法进行分析后,提出一种基于逻辑数组的新改进算法LA。该算法通过将数据库存入逻辑数组,并及时删除无效关联,有效减少原算法对数据库的扫描次数,提高算法的效率。将该算法应用于高校教务管理系统,进行教学效果与教师相关信息的关联规则分析,为学校的管理决策提供参考依据。
Having made some analyses of the classical association rule called Apriori Algorithm and its improved algorithm, this paper puts forward a new improved algorithm named LA Algorithm which is based on the logic array. By putting the database into the logic array, and deleting the invalid and negative association rule in time, the LA Algorithm effectively reduces the frequency of the database scanning and increases the algorithm efficiency. Applied to the Educational Management System in universities, the LA Algorithm can analyze the correlation between the teaching effects and the relevant information of the teachers. In this way, it provides reference basis for the school authorities to make managerial decisions.
出处
《广东培正学院学报》
2014年第2期62-65,78,共5页
Journal of Guangdong Peizheng College
关键词
关联规则
LA算法
数据挖掘
教务管理数据
Association Rule
LA Algorithm
Data Mining
Education Management System