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.
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.
出处
《湖南工程学院学报（自然科学版）》
2011年第2期56-59,85,共5页
Journal of Hunan Institute of Engineering(Natural Science Edition)
关键词
决策树
数据挖掘
维度表
规则
decision tree
data mining
dimension table
rule
