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Pacific-Asia Conference on Knowledge Discovery and Data Mining

PAKDD 2003: Advances in Knowledge Discovery and Data Mining pp 265–270Cite as

A New Restricted Bayesian Network Classifier

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Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 2637))

Abstract

On the basis of examining the existing restricted Bayesian network classifiers, a new Bayes-theorem-based and more strictly restricted Bayesian-network-based classification model DLBAN is proposed, which can be viewed as a double-level Bayesian network augmented naive Bayes classification. The experimental results show that the DLBAN classifier is better than the TAN classifier in the most cases.

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Author information

Authors and Affiliations

  1. School of Computer Science and Software Engineering, Monash University, Clayton, Victoria, 3800, Australia

    Hongbo Shi, Zhihai Wang, Geoffrey I. Webb & Houkuan Huang

  2. School of Computer and Information Technology, Northern Jiaotong University, Beijing, 100044, China

    Hongbo Shi, Zhihai Wang, Geoffrey I. Webb & Houkuan Huang

Authors
  1. Hongbo Shi
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  2. Zhihai Wang
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  3. Geoffrey I. Webb
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  4. Houkuan Huang
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Editor information

Editors and Affiliations

  1. Computer Science Department, Korea Advanced Institute of Science and Technology, 373-1 Koo-Sung Dong, Yoo-Sung Ku, Daejeon, 305-701, Korea

    Kyu-Young Whang

  2. Department of Statistics, Seoul National University, Sillimdong Kwanakgu, Seoul, 151-742, Korea

    Jongwoo Jeon

  3. School of Electrical Engineering and Computer Science, Seoul National University, Kwanak P.O. Box 34, Seoul, 151-742, Korea

    Kyuseok Shim

  4. Department of Computer Science and Engineering, University of Minnesota, 200 Union St SE, Minneapolis, MN, 55455, USA

    Jaideep Srivastava

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© 2003 Springer-Verlag Berlin Heidelberg

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Cite this paper

Shi, H., Wang, Z., Webb, G.I., Huang, H. (2003). A New Restricted Bayesian Network Classifier. In: Whang, KY., Jeon, J., Shim, K., Srivastava, J. (eds) Advances in Knowledge Discovery and Data Mining. PAKDD 2003. Lecture Notes in Computer Science(), vol 2637. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36175-8_26

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  • DOI: https://doi.org/10.1007/3-540-36175-8_26

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-04760-5

  • Online ISBN: 978-3-540-36175-6

  • eBook Packages: Springer Book Archive

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