A functional-dependencies-based Bayesian networks learning method and its application in a mobile commerce system

Stephen Shaoyi Liao; Huai Qing Wang; Qiu Dan Li; Wei Yi Liu

doi:10.1109/TSMCB.2005.862492

A functional-dependencies-based Bayesian networks learning method and its application in a mobile commerce system

Stephen Shaoyi Liao, Huai Qing Wang, Qiu Dan Li, Wei Yi Liu

Department of Information Systems

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

9 Citations (Scopus)

Abstract

This paper presents a new method for learning Bayesian networks from functional dependencies (FD) and third normal form (3NF) tables in relational databases. The method sets up a linkage between the theory of relational databases and probabilistic reasoning models, which is interesting and useful especially when data are incomplete and inaccurate. The effectiveness and practicability of the proposed method is demonstrated by its implementation in a mobile commerce system. © 2006 IEEE.

Original language	English
Pages (from-to)	660-671
Journal	IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Volume	36
Issue number	3
DOIs	https://doi.org/10.1109/TSMCB.2005.862492
Publication status	Published - Jun 2006

Research Keywords

Bayesian network
Functional dependency
Mobile commerce
Probabilistic reasoning model
Relational database

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abstract = "This paper presents a new method for learning Bayesian networks from functional dependencies (FD) and third normal form (3NF) tables in relational databases. The method sets up a linkage between the theory of relational databases and probabilistic reasoning models, which is interesting and useful especially when data are incomplete and inaccurate. The effectiveness and practicability of the proposed method is demonstrated by its implementation in a mobile commerce system. {\textcopyright} 2006 IEEE.",

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A functional-dependencies-based Bayesian networks learning method and its application in a mobile commerce system. / Liao, Stephen Shaoyi; Wang, Huai Qing; Li, Qiu Dan et al.
In: IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 36, No. 3, 06.2006, p. 660-671.

Research output: Journal Publications and Reviews › RGC 22 - Publication in policy or professional journal

TY - JOUR

T1 - A functional-dependencies-based Bayesian networks learning method and its application in a mobile commerce system

AU - Liao, Stephen Shaoyi

AU - Wang, Huai Qing

AU - Li, Qiu Dan

AU - Liu, Wei Yi

PY - 2006/6

Y1 - 2006/6

N2 - This paper presents a new method for learning Bayesian networks from functional dependencies (FD) and third normal form (3NF) tables in relational databases. The method sets up a linkage between the theory of relational databases and probabilistic reasoning models, which is interesting and useful especially when data are incomplete and inaccurate. The effectiveness and practicability of the proposed method is demonstrated by its implementation in a mobile commerce system. © 2006 IEEE.

AB - This paper presents a new method for learning Bayesian networks from functional dependencies (FD) and third normal form (3NF) tables in relational databases. The method sets up a linkage between the theory of relational databases and probabilistic reasoning models, which is interesting and useful especially when data are incomplete and inaccurate. The effectiveness and practicability of the proposed method is demonstrated by its implementation in a mobile commerce system. © 2006 IEEE.

KW - Bayesian network

KW - Functional dependency

KW - Mobile commerce

KW - Probabilistic reasoning model

KW - Relational database

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DO - 10.1109/TSMCB.2005.862492

M3 - RGC 22 - Publication in policy or professional journal

C2 - 16761818

SN - 1083-4419

VL - 36

SP - 660

EP - 671

JO - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

JF - IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics

IS - 3

ER -

A functional-dependencies-based Bayesian networks learning method and its application in a mobile commerce system

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Research Keywords

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