摘要
为帮助大学生做好首次职业类型选择;应用OLAP技术对大学生的性别、性格、气质、兴趣等先天因素与大学生首次选择的职业类型进行研究、分析,使用SQL Server 2005 Analysis Service软件提供的决策树算法、关联规则算法分别创建OLAP模型,挖掘出大学生首次选择的职业类型与学生的先天因素之间的潜在规律,应用到大学生首次职业类型选择中;实践表明,挖掘出的潜在规律为大学生首次职业类型选择提供了有效的决策支持.
order to help college students prepare for the first time professional type selection. For university students by using OLAP technology of congenital factors such as gender, personality, temperament, interests and the choice of college students for the first time the type of professional research, analysis. Using SQL Server 2005 Analysis Services software provides a decision tree algorithm to create OLAP data mining model. The association rule algorithm to create OLAP model respectively, excavate students＇first choice of career types and the students＂ innate factors, the regularity of potential application to the college students＂ vocational type selection for the first time. Practice shows that excavate potential of college students ＂vocational selection provides effective decision support for the first time.
出处
《吉林化工学院学报》
CAS
2014年第9期61-66,共6页
Journal of Jilin Institute of Chemical Technology
基金
安徽省示范性高职院校(软件技术专业)建设项目(SJ2010003)
滁州职业技术学院院级科研基金项目(YJY-2011-17)
关键词
OLAP
职业类型选择
决策支持
OLAP
Professional type selection
Decision support
