An information audit system based on bayes algorithm

Authors:
Fei Yu;Yue Shen;Huang Huang;Cheng Xu;Xia-peng Dai
Affiliations:
School of Computer & Information Engineering, Hunan Agricultural University, Changsha, China;School of Computer & Information Engineering, Hunan Agricultural University, Changsha, China;School of Computer & Information Engineering, Hunan Agricultural University, Changsha, China;College of Computer and Communication, Hunan University, Changsha, China;School of Computer & Information Engineering, Hunan Agricultural University, Changsha, China
Venue:
APWeb'06 Proceedings of the 2006 international conference on Advanced Web and Network Technologies, and Applications
Year:
2006

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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.