摘要
提出将数据挖掘技术应用于高校人才识别中,采用数据分类方法对人才进行定量的识别,更具科学性.讨论了数据分类的定义和方法,介绍了决策树分类和简单贝叶斯分类以及贝叶斯网络推理的算法,并给出具体的数据分类实例,利用过去已有的引进人才的经验数据分析提取规则,为以后的人才识别提供合理的、科学的技术支持.
The paper put forwards a method of applying data mining technology to evaluate talents in university while adopting data classification to propoee a new quantitative method of evaluation. The definition and methods of data classification are discussed, and algorithms of decision tree and simple Bayes classification and Bayes network reasoning are introduced. A concrete data classification example is also presented and draw underlying laws with reference to the existing data on bringing in talented person, providing reasonable and scientific technical support for the policy-making of the import of talents in future.
出处
《沈阳师范大学学报（自然科学版）》
CAS
2008年第2期133-136,共4页
Journal of Shenyang Normal University:Natural Science Edition
基金
国家自然科学基金资助项目(10471096)
辽宁省高等学校科学研究项目(20060842)
关键词
数据挖掘
数据分类
决策树
贝叶斯分类
贝叶斯网络
data mining
data classification
decision tree
Bayes classification
Bayes network
