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International Journal of Distributed Sensor Networks
Volume 2013 (2013), Article ID 460641, 15 pages
http://dx.doi.org/10.1155/2013/460641
Research Article

Optimizing Classification Decision Trees by Using Weighted Naïve Bayes Predictors to Reduce the Imbalanced Class Problem in Wireless Sensor Network

1Department of Computer and Information Science, University of Macau, Taipa, Macau
2School of Computer Science and Engineering, University of New South Wales, Sydney, NSW 2052, Australia
3Department of Electronic Engineering, Beijing University of Technology, Beijing 100022, China

Received 6 October 2012; Accepted 18 October 2012

Academic Editor: Sabah Mohammed

Copyright © 2013 Hang Yang et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Hang Yang, Simon Fong, Raymond Wong, and Guangmin Sun, “Optimizing Classification Decision Trees by Using Weighted Naïve Bayes Predictors to Reduce the Imbalanced Class Problem in Wireless Sensor Network,” International Journal of Distributed Sensor Networks, vol. 2013, Article ID 460641, 15 pages, 2013. doi:10.1155/2013/460641