摘要
关联规则是数据挖掘的重要内容之一.Apriori算法是关联规则挖掘的经典算法,本文对Apriori算法和改进后的FP-Growth算法进行了深入的研究,并以实际的案例进行了算法解析,通过对两种算法的比较与分析,选择FP-Growth算法应用到毕业生信息管理系统中,从大量的毕业生信息出发,找出就业信息与教育信息之间的关系,从而为决策者提供指导或数据支持,指导目前的专业建设、课程改革,促进学校的教学改革,提高人才培养质量.
The data mining association rules is an important part . Apriori algorithm is a classical algorithm for mining association rules , Apriori algorithm and improved FP-Growth algorithm are conducted in-depth research , and actual cases of the algorithm to parse through the comparison of the two algorithms and analysis, selection FP -Growth algorithm is applied to graduate information management systems, in a large information of graduates , the algorithm can find out the relationship betwean information of education and information of employment, so as to provide guidance or data to support decision-makers to guide our current professional development, curriculum reform, promoting the teaching reform , improve quality of personnel training .
出处
《德州学院学报》
2014年第2期61-66,共6页
Journal of Dezhou University
关键词
关联规则
毕业生管理系统
研究
association rules
graduate management system
research
