Rule + Exception Strategies for Security Information Analysis

IEEE Intelligent Systems

Volumn 20, Issue 5, 2005, Pages 52-57

  Yao, Yiyu ^a   Wang, Fei Yue ^b   Wang, Jue ^c   Zeng, Daniel ^d  

^a UNIVERSITY OF REGINA   (Canada)

^b University of Arizona   (United States)

^c INSTITUTE OF AUTOMATION   (China)

^d UNIVERSITY OF ARIZONA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 85008030123     PISSN: 15411672     EISSN: None     Source Type: Journal    
DOI: 10.1109/MIS.2005.93     Document Type: Article

References (8)

1. H. Chen, F.-Y. Wang, and D. Zeng, “Intelligence and Security Informatics for Homeland Security: Information, Communication, and Transportation,” IEEE Trans. Intelligent Transportation Systems, vol. 5, no. 4, 2004, pp. 329-341.
2. J. Wang et al., “Multilevel Data Summarization from Information System: A 'Rule + Exception'Approach,” AI Comm., vol. 16, no. 1, 2003, pp. 17-39.
3. Y. Shahar, “Toward a Target-Specific Method of Threat Assessment,” Proc. IEEE Int'l Conf. Intelligence and Security Informatics (ISI 05), LNCS, 3495, Springer, 2005, pp. 139-152.
4. J. Wang,Y.Y. Yao, and F.-Y. Wang, “'Rule + Exception' Learning Based on Reduct,” to be published in J. Software, 2005 (in Chinese).
5. Y.Y. Yao and N. Zhong, “An Analysis of Quantitative Measures Associated with Rules,” Proc. 3rd Pacific-Asia Conf. Knowledge Discovery and Data Mining (PAKDD 99), Springer, 1999, pp. 479-488.
6. J. Cendrowska, “PRISM:An Algorithm for Inducing Modular Rules,” Int'l J. Man-Machine Studies, vol. 27, no. 4, 1987, pp. 349-370.
7. B.R. Gaines and P. Compton, “Induction of Ripple-Down Rules Applied to Modeling Large Databases,” J. Intelligent Information Systems, vol. 5, no. 3, 1995, pp. 211-228.
8. P. Compton and B. Jansen, “Knowledge in Context: A Strategy for Expert System Maintenance,” Proc. 2nd Australian Joint Conf. Artificial Intelligence, Springer, 1988, pp. 292-306.