计算机工程与科学2011，Vol.33Issue(5)：141-145,5.DOI:10.3969/j.issn.1007-130X.2011.05.028
一种新的决策树模型在就业分析中的应用
Data Mining in Employment Based on a New Decision Tree
摘要
Abstract
Decision tree is a usual method of classification in data mining. In this paper, a new heuristic function to build decision trees based on the variable precision rough set is proposed for the inconsistency in the employment of university graduates. The measure of quality of classification acts as an information function to select the condition attribute in this method, and the condition attribute is to be the decision tree node to divide the data set. The dependency and redundancy between attributes are considered; especially a certain inconsistency is allowed to exist in the examples of the positive regions. The method classifies the data of employment correctly and finds some valuable results for analysis and decision, and it simplifies the decision trees and improves the extensive ability of decision rules.关键词
决策树/变精度粗糙集/学生就业/决策规则Key words
decision tree/ variable precision rough set/ employment of university graduates/ decision rules分类
信息技术与安全科学引用本文复制引用
常志玲,王岚..一种新的决策树模型在就业分析中的应用[J].计算机工程与科学,2011,33(5):141-145,5.基金项目
洛阳师范学院教学改革项目(2008-26) （2008-26）
河南省教育厅自然科学研究计划项目(2010A520030) （2010A520030）
