Design and development of the bayesian network platform based on B/S Structure

Pengfei Zhao, Lili Zhang, Guanmin Liu, Shubin Si

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

This paper studied on the design and development of Bayesian network platform under the B/S mode. We described the function design, development framework, network visualization, construction of the digital information and the inference algorithms of Bayesian network in detail. Based on the B/S model, this platform has obvious advantages at the aspects of convenience and cost. Finally, the simulation study of the Asia case confirmed the effectiveness of the platform modeling and inference. The results show that this platform completely satisfies the requests of Bayesian network applications and provides strong support for online modeling and inference.

Original languageEnglish
Title of host publicationProceedings - 2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011
Pages65-68
Number of pages4
DOIs
StatePublished - 2011
Event2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011 - Sanya, China
Duration: 8 Oct 20119 Oct 2011

Publication series

NameProceedings - 2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011

Conference

Conference2011 4th International Symposium on Knowledge Acquisition and Modeling, KAM 2011
Country/TerritoryChina
CitySanya
Period8/10/119/10/11

Keywords

  • B/S mode
  • Bayesian network platform
  • network inference
  • network modeling

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