Numerical experimentation on structure simplification in Bayesian network

Author

Shiba, Masakazu ; Takahashi, Atsushi ; Aoki, Shingo ; Tsuji, Hiroshi ; Inoue, Shuki

Author_Institution

Dept. of Comput. Sci. & Intell. Syst., Osaka Prefecture Univ., Osaka, Japan

fYear

2009

fDate

11-14 Oct. 2009

Firstpage

4698

Lastpage

4703

Abstract

In order to use Bayesian network for a complex world, this paper proposes a framework to simplify the network structure. The framework consists of Â¿eliminationÂ¿, Â¿segmentationÂ¿ and Â¿aggregationÂ¿. To verify the framework, this paper discusses the prediction problem on consumer´s preferences for the future products. The numerical experimentation shows how the framework could be applied and how it resolved the limitation of Bayesian network for the complex world.

Keywords

belief networks; numerical analysis; Bayesian network; aggregation; complex world; elimination; network structure; prediction problem; segmentation; structure simplification; Bayesian methods; Computer science; Cybernetics; Data mining; Energy resolution; Intelligent networks; Intelligent structures; Intelligent systems; Sensitivity analysis; USA Councils; Bayesian Network; Data Mining; Decision Support; Future Forecast; Questionnaire Analysis; Sensitivity Analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Systems, Man and Cybernetics, 2009. SMC 2009. IEEE International Conference on

Conference_Location

San Antonio, TX

ISSN

1062-922X

Print_ISBN

978-1-4244-2793-2

Electronic_ISBN

1062-922X

Type

conf

DOI

10.1109/ICSMC.2009.5346101

Filename

5346101