The Application of Bayesian Belief Networks

Barbara Krumay; Roman Brandtweiner

The Application of Bayesian Belief Networks

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

Abstract

The analysis of nominal data is often reduced to accumulation and description. Bayesian methods offer a possibility to analyse nominal data in a more sophisticated way. The possibility to indicate a structure via graphical representation, where variables are nodes and relationships are edges, enriches this method and makes it a powerful tool for data analysis. In this paper, an overview on Bayesian methods is given, the underlying rule is presented and some specialities will be discussed. Bayesian belief networks are described in brief and their potential to use them in case of uncertainty is presented. This includes not only the methods, but also possible applications in this context

Original language	English
Title of host publication	Proceedings of the 24th Bled eConference: eMergence: Merging and Emerging Technologies, Processes, and Institutions
Editors	Andreja Pucihar, Joe Gričar, Dianne Lux Wigand, Ulrike Lechner, Roger Clarke
Place of Publication	Bled, Slowenia
Pages	193 - 206
Publication status	Published - 1 Nov 2011

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title = "The Application of Bayesian Belief Networks",

abstract = "The analysis of nominal data is often reduced to accumulation and description. Bayesian methods offer a possibility to analyse nominal data in a more sophisticated way. The possibility to indicate a structure via graphical representation, where variables are nodes and relationships are edges, enriches this method and makes it a powerful tool for data analysis. In this paper, an overview on Bayesian methods is given, the underlying rule is presented and some specialities will be discussed. Bayesian belief networks are described in brief and their potential to use them in case of uncertainty is presented. This includes not only the methods, but also possible applications in this context",

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The Application of Bayesian Belief Networks. / Krumay, Barbara ; Brandtweiner, Roman.
Proceedings of the 24th Bled eConference: eMergence: Merging and Emerging Technologies, Processes, and Institutions. ed. / Andreja Pucihar, Joe Gričar, Dianne Lux Wigand, Ulrike Lechner, Roger Clarke. Bled, Slowenia, 2011. p. 193 - 206.

Publication: Chapter in book/Conference proceeding › Contribution to conference proceedings

TY - GEN

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AU - Krumay, Barbara

AU - Brandtweiner, Roman

PY - 2011/11/1

Y1 - 2011/11/1

N2 - The analysis of nominal data is often reduced to accumulation and description. Bayesian methods offer a possibility to analyse nominal data in a more sophisticated way. The possibility to indicate a structure via graphical representation, where variables are nodes and relationships are edges, enriches this method and makes it a powerful tool for data analysis. In this paper, an overview on Bayesian methods is given, the underlying rule is presented and some specialities will be discussed. Bayesian belief networks are described in brief and their potential to use them in case of uncertainty is presented. This includes not only the methods, but also possible applications in this context

AB - The analysis of nominal data is often reduced to accumulation and description. Bayesian methods offer a possibility to analyse nominal data in a more sophisticated way. The possibility to indicate a structure via graphical representation, where variables are nodes and relationships are edges, enriches this method and makes it a powerful tool for data analysis. In this paper, an overview on Bayesian methods is given, the underlying rule is presented and some specialities will be discussed. Bayesian belief networks are described in brief and their potential to use them in case of uncertainty is presented. This includes not only the methods, but also possible applications in this context

M3 - Contribution to conference proceedings

SP - 193

EP - 206

BT - Proceedings of the 24th Bled eConference: eMergence: Merging and Emerging Technologies, Processes, and Institutions

A2 - Andreja Pucihar, Joe Gričar, Dianne Lux Wigand, Ulrike Lechner, Roger Clarke, null

CY - Bled, Slowenia

ER -