Dynamic EMCUD for knowledge acquisition

Expert Systems with Applications

Volumn 34, Issue 2, 2008, Pages 833-844

  Lin, Shun Chieh ^a   Tseng, Shian Shyong ^a,b   Teng, Chia Wen ^a  

^a NATIONAL CHIAO TUNG UNIVERSITY   (Taiwan)

^b ASIA UNIVERSITY   (Taiwan)

Author keywords

Dynamic EMCUD; Dynamic knowledge; Knowledge acquisition; Trend analysis; Worm detection

Indexed keywords

CLASSIFICATION (OF INFORMATION); COMPUTER SUPPORTED COOPERATIVE WORK; KNOWLEDGE BASED SYSTEMS; TIME SERIES ANALYSIS;

ATTRIBUTE ORDERING TABLE (AOT); DYNAMIC KNOWLEDGE; KNOWLEDGE EXPLOSION; REPERTORY GRID TECHNIQUE; TREND ANALYSIS; WORM DETECTION;

KNOWLEDGE ACQUISITION;

EID: 36148941760     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2006.10.041     Document Type: Article

References (34)

1. Adams J. Probabilistic and certainty factors. In: Buchanan B., and Shortliffe E. (Eds). Rule-base expert systems: The MYCIN experiments of the stanford heuristic programming project (1985), Addison-Wesley, Reading, MA
2. Boegl, K. (1997). Design and implementation of a web-based knowledge acquisition toolkit for medical expert consultation systems. Doctorial thesis, Technical University of Vienna, Austria.
3. Boicu M. Automatic knowledge acquisition from subject matter experts. IEEE International Conference on Tool with Artificial Intelligent (2001)
4. Boose, J. H. (1984). Personal construct theory and the transfer of human expertise. In Proceedings of AAAI-84 conference (pp. 27-33), California.
5. Boose J.H. A knowledge acquisition program for expert systems based on personal construct psychology. International Journal of Man-Machine Studies 23 5 (1985) 495-525
6. Boose, J. H., & Bradshaw, J. M. (1986). NeoETS: Capturing expert system knowledge in hierarchical rating grids. In IEEE Expert System in Government Symposium.
7. Boose J.H., and Bradshaw J.M. Expertise transfer and complex problems: Using AQUINAS as a knowledge-acquisition workbench for knowledge-based systems. International Journal of Man-Machine Studies 26 1 (1987) 3-28
8. Cairo O. KAMET: A comprehensive methodology for knowledge acquisition from multiple knowledge sources. Expert Systems with Applications 14 1 (1998) 1-16
9. Castro-Schez J.J., Jennings N.R., Luo X.D., and Shadbolt N.R. Acquiring domain knowledge for negotiating agents: A case of study. International Journal of Human-Computer Studies 61 1 (2004) 3-31
10. Crowther, P., & Hartnett, J. (1996). Using repertory grids for knowledge acquisition for spatial expert system. In Proceedings of Australia and New Zealand Conference on Intelligent Information Systems (pp. 14-17), Adelaide, SA, Australia, November 18-20.
11. Davis R. Interactive transfer of expertise. Artificial Intelligent 56 (1987) 121-157
12. Diederich J., Ruhmann I., and May M. KRITON: A knowledge-acquisition workbench for knowledge-based systems. International Journal of Man Machine Studies 26 (1987) 3-27
13. Dixit A.K., and Pindyck R.S. Investment under uncertainty (1994), Princeton University Press
14. Eshelman L., Ehret D., McDermott J., and Tan M. MOLE: A tenacious knowledge acquisition tool. International Journal of Man Machine Studies 26 (1987) 41-54
15. F-Secure Corporation (2005). http://www.f-secure.com/.
16. Gaines B.R. An overview of knowledge-acquisition and transfer. International Journal of Man-Machine Studies 26 (1987) 453-472
17. Ginsberg A., Weiss S.M., and Politakis P. Automatic knowledge base refinement for classification systems. Artificial Intelligence 35 2 (1988) 197-226
18. Hwang G.J. Knowledge acquisition for fuzzy expert systems. International Journal of Intelligent Systems 10 (1995) 541-560
19. Hwang G.J., and Tseng S.S. EMCUD: A knowledge acquisition method which captures embedded meanings under uncertainty. International Journal of Man-Machine Studies 33 (1990) 431-451
20. Hwang G.J., and Tseng S.S. On building a medical diagnostic system of acute exanthema. Journal of Chinese Institute of Engineers 14 2 (1991) 185-195
21. Kang, B. (1996). Multiple classification ripple down rules. Ph.D Thesis, University of New South Wales.
22. Kelly, G. A. (1955). The psychology of personal constructs, Norton, New York.
23. Kolousek, G. (1997). The system architecture of an integrated medical consultation system and its implementation based on fuzzy technology. Doctoral thesis, Technical University of Vienna, Austria.
24. Leitich H., Kiener H.P., Kolarz G., Schuh C., Graninger W., and Adlassnig K.P. A prospective evaluation of the medical consultation system CADIAG-II/RHEUMA in a rheumatological outpatient clinic. Methods of Information in Medicine 40 (2001) 213-220
25. Mcgraw K.L., and Harbison-Briggs K. Knowledge acquisition: Principles and guidelines (1989), Prentice-Hill International Editions pp. 1-27
26. Moore, D., Shannon, C., Voelker, G. M., & Savage, S. (2003). Internet quarantine: Requirements for containing self-propagating code. In Proceedings of INFOCOM 2003, March 30-April 3, San Francisco, USA.
27. Pan D., Zheng Q.L., Zeng A., and Hu J.S. A novel self-optimizing approach for knowledge acquisition. IEEE Transactions on Systems, Man, and Cybernetics, Part A 32 4 (2002) 505-514
28. Politakis P., and Weiss S.M. Using empirical analysis to refine expert system knowledge bases. Artificial Intelligence 22 (1984) 673-680
29. Shaw M.L.G., and Gaines B.R. KITTEN: Knowledge initiation and transfer tools for experts and novices. International Journal of Man-Machine Studies 27 (1987) 251-280
30. Shaw, M. L. G., & Gaines, B. R. (1996). Web grid: Knowledge modeling and inference through the world Wide Web. In Proceedings of tenth knowledge acquisition workshop (pp. 65-1-65-14).
31. Shortliffe E.H., and Buchanan B.G. A model of inexact reasoning in medicine. Mathematical Bioscience 23 (1975) 351-379
32. Symantec Corporation (2006). http://www.symantec.com/corporate/.
33. Trend Corporation (2006). http://www.trendmicro.com/tw/home/enterprise.htm.
34. Wielinga B., Schreiber A., and Breuker J. KADS: A modeling approach to knowledge engineering. Journal of Knowledge Acquisition 4 1 (1992) 5-53