摘要
对于高校研究生就业信息管理系统中积累的大量数据，运用数据挖掘算法中的ID3决策树算法对所给数据进行分类和预测。通过实例给出了该算法在高校研究生就业工作中的应用，找出影响研究生就业的主要因素。挖掘结果表明，该算法在研究生就业数据的分析中的可行性和正确性，并得到若干有参考价值的结论，给广大学生和学校就业决策者提供就业指导。
Management system has accumulated college graduates employment information data, id3 data mining algorithm to use in the decisions of the to categorize the data and forecasted. By an example which this algorithm is applied to the employment of the college graduates to find out the main factors affect the post-graduate student employment. Excavation results reveal that this algorithm in analysis postgraduate employment data is feasible and correct and get some reference value conclusion, This conclusion is good for the student employment policy makers and provide employment guidance.
作者
禤世丽
杨秋叶
XUAN Shi-li, YANG Qiu-ye （College of Computer Science and Engineering Information, Guangxi Normal University, Guilin 541004, China）
出处
《电脑知识与技术》
2011年第7期4673-4675,共3页
Computer Knowledge and Technology
基金
广西研究生教育创新计划自助项目
关键词
数据挖掘
决策树
ID3算法
就业
data mining
decision trees
ID3 algorithm
employment
