A self-adaptive Bayesian network classifier by means of genetic optimization

Hongshui Xu; Wei Huang; Jinsong Wang; Dan Wang

doi:10.1109/ICSESS.2017.8343007

A self-adaptive Bayesian network classifier by means of genetic optimization

Hongshui Xu, Wei Huang, Jinsong Wang, Dan Wang

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Citations (Scopus)

Abstract

In the design of conventional Bayes network classifiers (e.g. Naive Bayes Classifier, Tree Augment Naive Bayes classifier), the network classifier structures are always fixed. Such network structures are very difficult to reflect the relationships among nodes (attributes). In this paper, we propose a self-adaptive Bayesian Network classifier based on genetic optimization. Genetic optimization is exploited here to realize the Self-adaptiveness, which means the network structure can be gradually optimized when constructing Bayesian network classifier. Experimental results show that the proposed method leads to a high classification accuracy than Naive Bayes classifier, Tree Augment Naive Bayes classifier, and KNN classifier on some benchmarks.

Original language	English
Title of host publication	ICSESS 2017 - Proceedings of 2017 IEEE 8th International Conference on Software Engineering and Service Science
Editors	Li Wenzheng, M. Surendra Prasad Babu, Lei Xiaohui
Publisher	IEEE Computer Society
Pages	688-691
Number of pages	4
ISBN (Electronic)	9781538645703
DOIs	https://doi.org/10.1109/ICSESS.2017.8343007
Publication status	Published - 2 Jul 2017
Externally published	Yes
Event	8th IEEE International Conference on Software Engineering and Service Science, ICSESS 2017 - Beijing, China Duration: 24 Nov 2017 → 26 Nov 2017

Publication series

Name	Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS
Volume	2017-November
ISSN (Print)	2327-0586
ISSN (Electronic)	2327-0594

Conference

Conference	8th IEEE International Conference on Software Engineering and Service Science, ICSESS 2017
Country/Territory	China
City	Beijing
Period	24/11/17 → 26/11/17

Keywords

Bayesian Network
Genetic optimization
network structrue
self-adaptive

Access to Document

10.1109/ICSESS.2017.8343007

Cite this

Xu, H., Huang, W., Wang, J., & Wang, D. (2017). A self-adaptive Bayesian network classifier by means of genetic optimization. In L. Wenzheng, M. S. P. Babu, & L. Xiaohui (Eds.), ICSESS 2017 - Proceedings of 2017 IEEE 8th International Conference on Software Engineering and Service Science (pp. 688-691). (Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS; Vol. 2017-November). IEEE Computer Society. https://doi.org/10.1109/ICSESS.2017.8343007

Xu, Hongshui ; Huang, Wei ; Wang, Jinsong et al. / A self-adaptive Bayesian network classifier by means of genetic optimization. ICSESS 2017 - Proceedings of 2017 IEEE 8th International Conference on Software Engineering and Service Science. editor / Li Wenzheng ; M. Surendra Prasad Babu ; Lei Xiaohui. IEEE Computer Society, 2017. pp. 688-691 (Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS).

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title = "A self-adaptive Bayesian network classifier by means of genetic optimization",

abstract = "In the design of conventional Bayes network classifiers (e.g. Naive Bayes Classifier, Tree Augment Naive Bayes classifier), the network classifier structures are always fixed. Such network structures are very difficult to reflect the relationships among nodes (attributes). In this paper, we propose a self-adaptive Bayesian Network classifier based on genetic optimization. Genetic optimization is exploited here to realize the Self-adaptiveness, which means the network structure can be gradually optimized when constructing Bayesian network classifier. Experimental results show that the proposed method leads to a high classification accuracy than Naive Bayes classifier, Tree Augment Naive Bayes classifier, and KNN classifier on some benchmarks.",

keywords = "Bayesian Network, Genetic optimization, network structrue, self-adaptive",

author = "Hongshui Xu and Wei Huang and Jinsong Wang and Dan Wang",

note = "Publisher Copyright: {\textcopyright} 2017 IEEE.; 8th IEEE International Conference on Software Engineering and Service Science, ICSESS 2017 ; Conference date: 24-11-2017 Through 26-11-2017",

year = "2017",

month = jul,

day = "2",

doi = "10.1109/ICSESS.2017.8343007",

language = "English",

series = "Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS",

publisher = "IEEE Computer Society",

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editor = "Li Wenzheng and Babu, \{M. Surendra Prasad\} and Lei Xiaohui",

booktitle = "ICSESS 2017 - Proceedings of 2017 IEEE 8th International Conference on Software Engineering and Service Science",

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}

Xu, H, Huang, W, Wang, J & Wang, D 2017, A self-adaptive Bayesian network classifier by means of genetic optimization. in L Wenzheng, MSP Babu & L Xiaohui (eds), ICSESS 2017 - Proceedings of 2017 IEEE 8th International Conference on Software Engineering and Service Science. Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS, vol. 2017-November, IEEE Computer Society, pp. 688-691, 8th IEEE International Conference on Software Engineering and Service Science, ICSESS 2017, Beijing, China, 24/11/17. https://doi.org/10.1109/ICSESS.2017.8343007

A self-adaptive Bayesian network classifier by means of genetic optimization. / Xu, Hongshui; Huang, Wei; Wang, Jinsong et al.
ICSESS 2017 - Proceedings of 2017 IEEE 8th International Conference on Software Engineering and Service Science. ed. / Li Wenzheng; M. Surendra Prasad Babu; Lei Xiaohui. IEEE Computer Society, 2017. p. 688-691 (Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS; Vol. 2017-November).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - A self-adaptive Bayesian network classifier by means of genetic optimization

AU - Xu, Hongshui

AU - Huang, Wei

AU - Wang, Jinsong

AU - Wang, Dan

PY - 2017/7/2

Y1 - 2017/7/2

N2 - In the design of conventional Bayes network classifiers (e.g. Naive Bayes Classifier, Tree Augment Naive Bayes classifier), the network classifier structures are always fixed. Such network structures are very difficult to reflect the relationships among nodes (attributes). In this paper, we propose a self-adaptive Bayesian Network classifier based on genetic optimization. Genetic optimization is exploited here to realize the Self-adaptiveness, which means the network structure can be gradually optimized when constructing Bayesian network classifier. Experimental results show that the proposed method leads to a high classification accuracy than Naive Bayes classifier, Tree Augment Naive Bayes classifier, and KNN classifier on some benchmarks.

AB - In the design of conventional Bayes network classifiers (e.g. Naive Bayes Classifier, Tree Augment Naive Bayes classifier), the network classifier structures are always fixed. Such network structures are very difficult to reflect the relationships among nodes (attributes). In this paper, we propose a self-adaptive Bayesian Network classifier based on genetic optimization. Genetic optimization is exploited here to realize the Self-adaptiveness, which means the network structure can be gradually optimized when constructing Bayesian network classifier. Experimental results show that the proposed method leads to a high classification accuracy than Naive Bayes classifier, Tree Augment Naive Bayes classifier, and KNN classifier on some benchmarks.

KW - Bayesian Network

KW - Genetic optimization

KW - network structrue

KW - self-adaptive

UR - https://www.scopus.com/pages/publications/85047020940

U2 - 10.1109/ICSESS.2017.8343007

DO - 10.1109/ICSESS.2017.8343007

M3 - Conference contribution

AN - SCOPUS:85047020940

T3 - Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS

SP - 688

EP - 691

BT - ICSESS 2017 - Proceedings of 2017 IEEE 8th International Conference on Software Engineering and Service Science

A2 - Wenzheng, Li

A2 - Babu, M. Surendra Prasad

A2 - Xiaohui, Lei

PB - IEEE Computer Society

T2 - 8th IEEE International Conference on Software Engineering and Service Science, ICSESS 2017

Y2 - 24 November 2017 through 26 November 2017

ER -

Xu H, Huang W, Wang J, Wang D. A self-adaptive Bayesian network classifier by means of genetic optimization. In Wenzheng L, Babu MSP, Xiaohui L, editors, ICSESS 2017 - Proceedings of 2017 IEEE 8th International Conference on Software Engineering and Service Science. IEEE Computer Society. 2017. p. 688-691. (Proceedings of the IEEE International Conference on Software Engineering and Service Sciences, ICSESS). doi: 10.1109/ICSESS.2017.8343007

A self-adaptive Bayesian network classifier by means of genetic optimization

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