The Patching Methods of the Bayesian Network Data

Author

Yishan, Gong ; Jia, Hao

Author_Institution

Foreign Language Inst. Shenyang, Shenyang Univ. of Technol., Shenyang, China

Volume

1

fYear

2009

fDate

12-14 Aug. 2009

Firstpage

138

Lastpage

141

Abstract

In this paper, as the issue of Bayesian networks with missing data bring out a repair method of data. This method through a score function to score all nodes, so can obtained for all states points of the Bayesian network. This is to say all states which belong to Bayesian networks matching degrees can finalized determine the add data´s states. Experiments show, this method can be learning Bayesian network structure inference or to repair data to make it a complete data it can effectively improve the utilization rate of missing data.

Keywords

belief networks; data mining; entropy; inference mechanisms; learning (artificial intelligence); pattern matching; random processes; statistical distributions; Bayesian network structure inference learning; data mining; data patching method; discrete random variable; joint entropy; joint probability distribution; missing data repair method; node matching degree; score function; Bayesian methods; Calculus; Data mining; Databases; Entropy; Fuzzy set theory; Hybrid intelligent systems; Information theory; Probability distribution; Set theory; Bayesian Network; Missing Data; Patching Methods; Probability inference; Score function;

fLanguage

English

Publisher

ieee

Conference_Titel

Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on

Conference_Location

Shenyang

Print_ISBN

978-0-7695-3745-0

Type

conf

DOI

10.1109/HIS.2009.35

Filename

5254314