摘要
朴素贝叶斯分类算法应用于毕业生就业预测分析,关键是建立有效的分类模型.文章提出了一种有效分类模型的发现算法,并研究了该算法实施中的零值属性计数、缺失数据问题及解决方法,能有效解决毕业生就业预测的可靠性问题.
Simple Bayesian algorithm classification is applied in employment forecast of graduates. The employment of graduates serves as a guidance for the enrollment of new college students and education management. In this paper a kind of availability algorithm is put forward for classification model, which can effectively resolve the reliability problems of employment forecast. The zero value attributing to counting and missing data problem in algorithm application is also studied.
出处
《广东教育学院学报》
2007年第5期79-82,共4页
Journal of Guangdong Education Institute
基金
广东省十五规划资助项目(05SJY009)
关键词
数据挖掘
朴素贝叶斯分类
分类模型
data mining
simple bayesian classification
classification model
