• 中国计算机学会会刊
  • 中国科技核心期刊
  • 中文核心期刊

J4 ›› 2013, Vol. 35 ›› Issue (6): 96-100.

• 论文 • Previous Articles     Next Articles

Study and application of incremental learning
Bayesian network guided by node order confidence             

JIA Songhao,YANG Cai,ZHANG Haiyu   

  1. (College of Computer and Information Technology,Nanyang Normal University,Nanyang 473061,China)
  • Received:2012-11-27 Revised:2013-01-21 Online:2013-06-25 Published:2013-01-21

Abstract:

By introducing the node order of confidence in the procedure of incremental learning, so the NOCLBN algorithm is proposed. For the learning procedure of Bayesian network under largescale data set, the algorithm enhances the accuracy of the study of each batch of data, thus improving the quality of the final network model. Experimental results show that the NOCLBN algorithm can obtain high quality for the learning results of Bayesian network under largescale data set.

Key words: Bayesian network;node order of confidence;incremental learning