Models and issues on probabilistic data streams with Bayesian networks

Hideyuki Kawashima, Ryo Sato, Hiroyuki Kitagawa

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Citations (Scopus)

Abstract

This paper proposes the integration of probabilistic data streams and relational database by using Bayesian networks that is one of the most famous techniques for expressing uncertain contexts. A Baysian network is expressed by the graphical model while relational data are expressed by relation. To integrate them we make the relational model as the unified model for its simplicity. A Bayesian network is modeled as an abstract data type in an object relational database, and we define signatures to extract a probabilistic relation from a Bayesian network. We provide a scheme to integrate a probabilistic relation and normal relations. To allow continual queries over streams for a Bayesian network, we introduce a new concept, lifespan.

Original languageEnglish
Title of host publicationProceedings - 2008 International Symposium on Applications and the Internet, SAINT 2008
Pages157-160
Number of pages4
DOIs
Publication statusPublished - 2008
Externally publishedYes
Event2008 International Symposium on Applications and the Internet, SAINT 2008 - Turku, Finland
Duration: 2008 Jul 282008 Aug 1

Publication series

NameProceedings - 2008 International Symposium on Applications and the Internet, SAINT 2008

Other

Other2008 International Symposium on Applications and the Internet, SAINT 2008
CountryFinland
CityTurku
Period08/7/2808/8/1

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

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