数据挖掘在大学生就业失衡现象中的应用研究  

The application of data mining in university students' employment imbalance

作　　者：赵永晖[1] 

机构地区：[1]浙江广厦建设职业技术学院,浙江东阳322100

出　　处：《齐齐哈尔大学学报（自然科学版）》2015年第6期17-21,共5页Journal of Qiqihar University(Natural Science Edition)

基　　金：浙江省教育科学规划2015年度研究课题(2015SCG274)

摘　　要：根据Fayyad的研究成果,对C4.5算法的连续属性离散化过程进进行了改进,提高了分类准确率和计算速度。针对所调研的学生学习成绩和就业信息数据,利用改进后的C4.5算法进行数据挖掘,分别构建了学生学业成绩模型和就业分析模型。该模型分析结果显示,学校培养的人才和企业需求的人才之间存在差异,影响了大学生的就业。所建模型为有效地分析大学生就业失衡的原因提供了帮助,也为学校制订科学合理的人才培养方案提供决策辅助。According to Fayyad research, C4.5 algorithm on continuous attributes into discrete process was modified to improve the classification accuracy and computational speed. For information on student achievement and employment survey data, C4.5 algorithm uses the improved data mining models were constructed student academic achievement and employment analysis model. The model analysis showed that differences between schools to train personnel and business needs of personnel, affecting the employment of college students. The model to analysis the cause of the imbalance of university students＇ employment effectively provide help, and to formulate a scientific and reasonable personnel training scheme for the school provide a decision aid.

关 键 词：数据挖掘 C4.5算法 就业 失衡 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]