Dr Eman Nashnush E.B.Nashnush@salford.ac.uk
Lecturer
Dr Eman Nashnush E.B.Nashnush@salford.ac.uk
Lecturer
Prof Sunil Vadera S.Vadera@salford.ac.uk
Professor
Cost-Sensitive learning has become an increasingly important area that recognizes that real world classification problems need to take the costs of misclassification and accuracy into account. Much work has been done on cost-sensitive decision tree learning, but very little has been done on cost-sensitive Bayesian networks. Although there has been significant research on Bayesian networks there has been relatively little research on learning cost-sensitive Bayesian networks. Hence, this paper explores whether it is possible to develop algorithms that learn cost-sensitive Bayesian networks by taking (i) an indirect approach that changes the data distribution to reflect the costs of misclassification; and (ii) a direct approach that amends an existing accuracy based algorithm for learning Bayesian networks. An empirical comparison of the new approaches is carried out with cost-sensitive decision tree learning algorithms on 33 data sets, and the results show that the new algorithms perform better in terms of misclassification cost and maintaining accuracy.
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 13, 2016 |
Online Publication Date | Dec 30, 2016 |
Publication Date | Dec 30, 2016 |
Deposit Date | Mar 29, 2016 |
Publicly Available Date | Jan 25, 2017 |
Journal | Integrated Computer-Aided Engineering |
Print ISSN | 1069-2509 |
Publisher | IOS Press |
Volume | 24 |
Issue | 1 |
Pages | 17-26 |
DOI | https://doi.org/10.3233/ica-160514 |
Publisher URL | http://dx.doi.org/10.3233/ICA-160514 |
Related Public URLs | http://www.iospress.nl/journal/integrated-computer-aided-engineering/ |
ica_2017_24-1_ica-24-1-ica514_ica-24-ica514.pdf
(959 Kb)
PDF
Licence
http://creativecommons.org/licenses/by-nc/4.0/
Publisher Licence URL
http://creativecommons.org/licenses/by-nc/4.0/
EBNO: Evolution of costāsensitive Bayesian networks
(2019)
Journal Article
Cost-Sensitive Bayesian Network Learning Using Sampling
(2014)
Book Chapter
Explainable fault prediction using learning fuzzy cognitive maps
(2023)
Journal Article
About USIR
Administrator e-mail: library-research@salford.ac.uk
This application uses the following open-source libraries:
Apache License Version 2.0 (http://www.apache.org/licenses/)
Apache License Version 2.0 (http://www.apache.org/licenses/)
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search