Title :
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
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;
Conference_Titel :
Hybrid Intelligent Systems, 2009. HIS '09. Ninth International Conference on
Conference_Location :
Shenyang
Print_ISBN :
978-0-7695-3745-0
DOI :
10.1109/HIS.2009.35