Paper Info
Title
Integration of General Bayesian Network and ubiquitous decision support to provide context prediction capability.
Abstract
We propose a new type of ubiquitous decision support system which is powered by a General Bayesian Network (GBN). While complicated decision support problems are plagued by complexities involved in interpreting causal relationships among decision variables, GBN has shown excellent decision support competence due to its flexible structure which allows itself to extract appropriate and robust causal relationships among target variable and related explanatory variables. The potentials of GBN, however, were not explored enough in the field of ubiquitous decision support area. Hence, we propose a new type of ubiquitous decision support mechanism named U-BASE which uses GBN for context prediction to improve decision support. To prove the validity of the proposed decision support mechanism, we collected a set of contextual data from college students, and applied U-BASE to induce useful and robust results. Practical implications are fully discussed for motivating future studies. (C) 2011 Elsevier Ltd. All rights reserved.
Year
DOI
Venue
2012
10.1016/j.eswa.2011.11.007
EXPERT SYSTEMS WITH APPLICATIONS
Keywords
DocType
Volume
Context prediction,General Bayesian Network,Ubiquitous decision support system,U-BASE
Journal
39
Issue
ISSN
Citations 
5
0957-4174
2
PageRank 
References 
Authors
0.36
13
2
Name
Order
Citations
PageRank
Kun Chang Lee199494.73
Heeryon Cho2709.38