摘要
随着现代高校学生学习任务的日益繁重以及学习方向趋于多样,学生很难看清自己就业和在校期间的学习方向的关系,这使得学生在校期间对自己要求不甚严格导致就业困难。针对这一现状,提出了一种基于Apriori算法的高校就业预警系统,通过挖掘已就业学生的信息,找出隐藏在其中有价值的信息,并加上对在校学生的信息的分析,对在校学生就业前景进行预警。系统开发采用JSP+servlet完成,后台选用SQL Server2008数据库搭建,在此基础上设计并开发一个较完善的高校就业预警系统。
As learning task of college students is increasingly arduous and learning orientation tends to be diverse,students do not easily see their employment relationship between the occupational direction and the learning direction in school.It makes students not strict with themselves,which leads to the difficulties of future employment.In response to the situation,this paper proposes the early-warning system of college employment based on the Apriori algorithm.By mining the information of the employed students,it can find the valuable hidden information,and then it gives the employment warning to the students in school with the information analysis of them.In this paper,the system is developed by JSP ＋ servlet,and the background selects SQL Server2008 database structures.On this basis,it designs and develops a more comprehensive early-warning system of college employment.
出处
《微型电脑应用》
2016年第7期44-46,共3页
Microcomputer Applications
基金
中国石油大学(华东)高等教育研究基金(GJKT201502)
作者简介
张亮（1981-），男，汉族，江苏启东，中国石油大学（华东），硕士，工程师，研究方向：计算机信息和网络技术方面的研究，青岛，266500
