Application of naive bayesian classifier on predictive study of incomplete data

摘要：

The existence of mass incomplete data in the realistic world is a common phenomenon. In data mining methods, Naive Bayesian classifier is usually used to remedy incomplete data. This paper applied Naive Bayesian classifier in an incomplete graduate student database, and the result has shown a fine precision and efficiency.

关键词： Data Mining Classification Naive Bayesian

作者: Chao ZHOU Yun LIU Dongpeng YANG

作者单位: School of Management and Economics,Beijing Institute of Technology,Beijing 100081,China

会议类型: 国际会议

会议名称: 2008 International Conference on Risk and Relianility Management(2008风险与可靠性管理国际会议)

会议地点: 北京

会议语种:英文

页码: 686-688

在线出版日期: 2008-11-10（万方平台首次上网日期，不代表论文的发表时间）