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).
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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
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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
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