DocumentCode
447203
Title
Hybrid algorithm for learning structure of Bayesian network from incomplete databases
Author
Saptawati, G. A Putri ; Sitohang, Benhard
Author_Institution
Dept. of Inf., Institute of Technol. Bandung, Indonesia
Volume
1
fYear
2005
fDate
12-14 Oct. 2005
Firstpage
741
Lastpage
744
Abstract
Scoring-based and constraint-based algorithms are two approaches for learning BN structure from data. Hybrid algorithm combines these two approaches in order being more efficient. Experimental result shows its superior. The algorithm, then, is modified to overcome incomplete databases. It is expected that the proposed algorithm can also show its superiority.
Keywords
belief networks; learning (artificial intelligence); Bayesian network; constraint-based algorithms; hybrid algorithm; incomplete databases; learning structure; scoring-based algorithms; Asia; Bayesian methods; Data analysis; Data mining; Databases; Informatics; Probability distribution; Random variables;
fLanguage
English
Publisher
ieee
Conference_Titel
Communications and Information Technology, 2005. ISCIT 2005. IEEE International Symposium on
Print_ISBN
0-7803-9538-7
Type
conf
DOI
10.1109/ISCIT.2005.1566960
Filename
1566960
Link To Document