Multi-agent and data mining technologies for situation assessment in security-related applications

Advances in Soft Computing

Volumn 28, Issue , 2005, Pages 411-422

  Gorodetsky, Vladimir ^a   Karsaev, Oleg ^a   Samoilov, Vladimir ^a  

^a ST PETERSBURG INSTITUTE FOR INFORMATICS AND AUTOMATION   (Russian Federation)

Author keywords

[No Author keywords available]

Indexed keywords

EID: 67649922758     PISSN: 16153871     EISSN: 18600794     Source Type: Book Series    
DOI: 10.1007/3-540-32370-8_32     Document Type: Conference Paper

References (16)

1. Ben-Bassat, M., Freedy, A.: Knowledge Requirements and Management in Expert Decision Support Systems for (Military) Situation Assessment. IEEE Transactions on Systems, Man and Cybernetics, vol.12. (2002) pp. 479-490
2. Cohen, W.: Fast efficient rule induction. Machine Learning: 12th International Conference, CA, Morgan Kaufmann (1995)
3. Goodman, I., Mahler, R., and Nguen, H.: Mathematics of Data Fusion. Kluwer Academic Publishers, (1997)
4. Gorodetsky, V., Karsaeyv, O., and Samoilov, V: Software Tool for Agent-Based Distributed Data Mining. Proceedings of the IEEE Conference "Knowledge Intensive Multiagent Systems" (KIMAS 03), Boston, USA (2003)
5. Gorodetski, V, Karsaev, O., Kotenko, and I., Khabalov, A.: Software Development Kit for Multi-agent Systems Design and Implementation. In B.Dunin-Keplicz, E.Navareski (Eds.), From Theory to Practice in Multi-agent Systems. Lecture Notes in Artificial Intelligence, Vol. 2296, (2002) 121-130
6. Gorodetsky, V, Karsaev, O.: Mining of Data with Missing Values: A Lattice-based Approach. In Proceedings of International Workshop on the Foundation of Data Mining and Discovery, Japan, (2002) 151-156
7. Gorodetsky, V, Karsaev, O.: Algorithm of Rule Extraction from Learning Data. Proceedings of the 8-th International Conference "Expert Systems & Artificial Intelligence" (EXPERSYS-96)(1996) 133-138
8. Greeenhill, S., Venkatesh, S., Pearce, A., Ly, T.C.: Representations and Processes in Decision Modeling. DSTO Aeronautical and Maritime Research Laboratory, Australia, DSTO-GD-0318(2002)
9. Michalski, R.: A Theory and Methodology of Inductive Learning. Machine Learning, vol.1, Carbonel, J.G., Michalski, R.S. and Mitchel, T.M. (Eds.). Tigoda, Palo Alto (1983) 83-134
10. Michalski, R. and Kaufman, A.: Data Mining and Knowledge Discovery: A Review of Issues and Multistrategy Approach. Machine learning and Data Mining: Methods and Applications, John Wiley and Sons, (1997)
11. Proceeding of the Fifth International Conference on Information Fusion (IF-2002). Annapolis, MD, July 7-11, (2002)
12. Proceeding of the Six International Conference on Information Fusion (IF-2003). Melbourne, Australia, July 13-17 (2003)
13. Salerno, J., Hinman, M., Boulware, D.: Building a Framework for Situation Assessment. Proceedings of The 7th International Conference on Information Fusion. Sweden (2004)
14. Salerno, J.: Information Fusion: A High-level Architecture Overview. In CD Proceedings of the Fusion-2002, AnnapoHs, MD (2002) 680-686.
15. Than, C. L., Greenhill, S., Venkatesh, S., Pearce, A.: Multiple Hypotheses Situation Assessment. Proceedings of The 6th International Conference on Information Fusion. Australia, (2003)972-978
16. Wooldridge, M., Jennings, N.R., Kinny, D.: The Gaia Methodology for Agent-Oriented Analysis and Design. Journal of Autonomous Agents and Multi-Agent Systems, 3, vol.3. (2000)285-312