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

Author

Liao, Stephen Shaoyi ; Wang, Huai Qing ; Li, Q.D. ; Liu, Wei Yi

Author_Institution

Dept. of Inf. Syst., Hong Kong, China

Volume

36

Issue

3

fYear

2005

fDate

6/1/2005 12:00:00 AM

Firstpage

660

Lastpage

671

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.

Keywords

belief networks; electronic commerce; inference mechanisms; learning (artificial intelligence); mobile computing; relational databases; functional-dependencies-based Bayesian networks; learning method; mobile commerce system; probabilistic reasoning model; relational databases; third normal form; Bayesian methods; Buildings; Business; Councils; Couplings; Erbium; Learning systems; Power system modeling; Relational databases; Uncertainty; Bayesian network; functional dependency; mobile commerce; probabilistic reasoning model; relational database; Algorithms; Artificial Intelligence; Bayes Theorem; Commerce; Computer Simulation; Decision Support Techniques; Food Industry; Models, Economic; Models, Statistical; Motion; Pattern Recognition, Automated;

fLanguage

English

Journal_Title

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

Publisher

ieee

ISSN

1083-4419

Type

jour

DOI

10.1109/TSMCB.2005.862492

Filename

1634657