Abstract
It is difficult to collect information over Gigabit networks for infor-mation audit. In the paper, the information audit system adopts the network processor to collect and analyze the date in the low level of network. Through taking an advanced research on current algorithm, some improvements of the Bayes categorization algorithm have been made as well as the proposal of a text categorization model of the minimal risk Bayes decision. In addition, it considers the risk probability of mistaking the related text for unrelated text during the text categorization. The experiments results show that it promotes the precision of text categorization.
Supported by Hunan Provincial Natural Science Foundation of China(03JJY3103).
This is a preview of subscription content, log in via an institution to check access.
Preview
Unable to display preview. Download preview PDF.
Similar content being viewed by others
References
Cheng, H.Y., Ying, C., Li, S., et al.: Research on network secure auditing system using distributed agents. In: IEEE Region 10 Annual International Conference, pp. 391–395 (2002)
Guenther, K.: Conducting an information audit on your intranet. Journal of Research and Practice in Information Technology 34(1), 47–64 (2002)
Fei, Y., Huang, H., Cheng, X., et al.: Badness Information Audit Based on Image Character Filtering. In: Chen, G., Pan, Y., Guo, M., Lu, J. (eds.) ISPA-WS 2005. LNCS, vol. 3759, pp. 647–656. Springer, Heidelberg (2005)
Cohen, W.W., Singer, Y.: Context-sensitive learning methods for text categorization In: Proc. of the 19th Int’l ACM SIGIR Conf. on research and development in information Retrieval, Zurich, pp. 307–315 (1996)
Xiu-Qing, W.: The organization of Web Pages Based on Bayes Algorithm. Computer Enginerring 03, 6–7 (2000)
Hong-fei, L.: The Mechanism of Text Title Classif Ication Based on Exam Ples. Computer Research and Development 38(9), 1132–1136 (2001)
Jian, S., Wei, W., Yi-xin, Z.: Automatic Text Categorization Based on K-Nearest Neighbor. Journal of Beijing Univeersity of Posts and Telecommunications 24(1), 42–46 (2001)
Mao-Song, Y.: The Project of Venture Decision based on Bayes. Tsinghua University Press, Beijing (1998)
Yu, F., Miaoliang, Z., Chen, Y., et al.: An Intrusion Alarming System Based on Self-Similarity of Network Traffic. Wuhan University Journal of Natural Sciences 23(1), 169–173 (2005)
Author information
Authors and Affiliations
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2006 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Yu, F., Shen, Y., Huang, H., Xu, C., Dai, Xp. (2006). An Information Audit System Based on Bayes Algorithm. In: Shen, H.T., Li, J., Li, M., Ni, J., Wang, W. (eds) Advanced Web and Network Technologies, and Applications. APWeb 2006. Lecture Notes in Computer Science, vol 3842. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11610496_120
Download citation
DOI: https://doi.org/10.1007/11610496_120
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-31158-4
Online ISBN: 978-3-540-32435-5
eBook Packages: Computer ScienceComputer Science (R0)Springer Nature Proceedings Computer Science
Keywords
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.