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Intelligence and Security Informatics: Pacific Asia by Sajimon Abraham, P. Sojan Lal (auth.), Michael Chau, G. Alan

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By Sajimon Abraham, P. Sojan Lal (auth.), Michael Chau, G. Alan Wang, Xiaolong Zheng, Hsinchun Chen, Daniel Zeng, Wenji Mao (eds.)

This e-book constitutes the refereed lawsuits of the Pacific Asia Workshop on Intelligence and safeguard Informatics, PAISI 2011, held in Beijing, China, in July 2011. The eight revised complete papers and the five brief papers offered have been conscientiously reviewed and chosen from quite a few submissions. The papers are prepared in topical sections on terrorism informatics and crime research; intelligence research and data discovery; details entry and protection; and infectious disorder informatics.

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Extra resources for Intelligence and Security Informatics: Pacific Asia Workshop, PAISI 2011, Beijing, China, July 9, 2011. Proceedings

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Continued) The curve of the simulated netizen group’s concern matches well with the curve of the total amount of the comments, as shown in Fig. 2(a). From Fig. 2(b) we can see that the netizen group’s negative opinion toward Synutra is rather strong on Aug 8 because a lot of victims of the Synutra milk powder are found. Fig. 2(d) shows the simulated opinion toward the government is similar to the real data. The opinion toward the government decreases at the beginning as the government refused to react to the event and thus raised the public rage.

Our future work includes the following: z z Use quantified Z-score of characteristic words to judge a sentence’s relevance. Distinguish the importance of sentences occurring at different positions. 42 S. He et al. z z Implement mutual enhancement mechanism between sentence and document for their relevance are prohibitively interdependent. Enable mistakenly extracted characteristic words eliminated automatically. Acknowledgments This work is supported in part by NNSFC #91024030, #60921061, #90924302, #71025001, #60875049 and #70890084, MOST #2009ZX10004-315 and #2008ZX10005-013, and CAS #2F070C01.

In general, the simulation results by our model fit the real social media data quite well. This basically verifies the effectiveness of the model. 50 Z. Tan, X. Li, and W. 2 360 VS QQ 360 versus QQ is a business conflict between Qihoo and Tecent, two leading software companies in China. 360 published privacy protection software to monitor QQ software on September 27. Tecent announced QQ software would not compatible with 360 on personal computers. Netizens got rage soon and expressed their anger by posting threads online.

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