| 数据挖掘在高职院校就业指导中的应用研究 |
| |
| 引用本文： | 陈海宇,郭晓伟.数据挖掘在高职院校就业指导中的应用研究[J].湖南工程学院学报(自然科学版),2011(2):56-59,85. |
| |
| 作者姓名： | 陈海宇 郭晓伟 |
| |
| 作者单位： | 罗定职业技术学院电子信息系,罗定,527200 |
| |
| 摘 要： | 提高就业率是以培养应用型人才为宗旨的高职院校重要目标.将C45算法应用于就业信息统计分析中,通过对就业数据预处理、就业决策树的构建和剪枝,从其抽取分类规则,并指出决定就业单位类别的决策属性,得到一些较实用的预测毕业生就业动态的规律,从而更好地服务于学生就业指导工作.
|
| 关 键 词： | 决策树 数据挖掘 维度表 规则 |
The Application of Data Mining in Higher Vocational Career Guidance |
| |
| CHEN Hai-yu,GUO Xiao-wei.The Application of Data Mining in Higher Vocational Career Guidance[J].Journal of Hunan Institute of Engineering(Natural Science Edition),2011(2):56-59,85. |
| |
| Authors: | CHEN Hai-yu GUO Xiao-wei |
| |
| Institution: | CHEN Hai-yu,GUO Xiao-wei(Electronic Information Department,Luoding Vocational Technical College,Luoding 527200,China) |
| |
| Abstract: | To raise the employment rate is the important goal of vocational colleges whose purpose is to train practical talents.C45 algorithm is applied to the statistical analysis of employment information through the pre-employment data,employment,decision tree construction and pruning,its classification rule extraction.The decision attributes of employment unit category are decided and some of the more practical graduate employment laws are predicted to better serve the student employment guidance. |
| |
| Keywords: | decision tree data mining dimension table rule |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
