摘要
随着高校毕业生人数的增加和管理信息系统的应用,产生并积累了大量的、复杂的毕业生就业信息数据。文章以这些数据作为挖掘对象,利用Apriori算法找出影响毕业生就业率的频繁出现因素,有助于提高对毕业生就业指导的实效性,实现毕业生更快更好的就业。
A huge of complicated data,about employment for graduates,has been produced with the increment of graduates from college and the application of information management system. In this paper we adopt these data as mining object and find out the factors with Apriori algorithm, which frequendy affect the employment rate of the graduates. It will be help with improving the timeliness of guidance and realizing the employment as more quickly as better for graduates with these factors.
出处
《电脑与信息技术》
2009年第3期19-20,81,共3页
Computer and Information Technology
基金
河南省重点科技攻关项目(072102210013)
