Multi-agent technology for distributed data mining and classification

Proceedings - IEEE/WIC International Conference on Intelligent Agent Technology, IAT'03

Volumn , Issue , 2003, Pages 438-441

  Gorodetsky, Vladimir ^a   Karsaeyv, Oleg ^a   Samoilov, Vladimir ^a  

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

Author keywords

[No Author keywords available]

Indexed keywords

COLLABORATIVE DESIGN; COLLABORATIVE WORK; CORE PROBLEMS; DATA MINING TECHNIQUES; DISTRIBUTED DATA MINING; DISTRIBUTED SOFTWARE; MULTI-AGENT; MULTI-AGENT TECHNOLOGIES;

CLASSIFICATION (OF INFORMATION); INTERNET PROTOCOLS; MULTI AGENT SYSTEMS; NETWORK ARCHITECTURE; SOFTWARE AGENTS; SOFTWARE DESIGN; TECHNOLOGY;

DATA MINING;

EID: 78649700267     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. T.Dietterich. Machine Learning Research: Four Current Directions. AI magazine. 18(4), 1997, 97-136.
2. V.Gorodetski, O.Karsaev, I.Kotenko. Software Development Kit for Multi-agent Systems Design and Implementation. In "From Theory to Practice in Multi-agent Systems". LNAI, vol. 2296, Springer Verlag, 2002, 121-130.
3. V.Gorodetski, V.Skormin, L.Popyack. Data Mining for Failure Prognostics of Avionics, IEEE Transactions on Aerospace and Electronic Systems. 38(2), 2000, 388-403.
4. V.Gorodetski and O.Karsayev. Algorithm of Rule Extraction from Learning Data. In Proceedings of International Conference on Expert Systems & Artificial Intelligence, Paris, 1996, 133-138.
5. J.Han, M.Kamber. Data Mining. Concept and Techniques. Morgan Kaufman Publishers, 2000.
6. J.Ortega, M.Coppel, and S.Argamon. Arbitraining Among Competing Classifiers Using Learned Referees. Knowledge and Information Systems, 4, 2001, 470-490.
7. A. Prodromidis, P. Chan, and S. Stolfo. Meta-learning in distributed data mining systems: Issues and approaches. Advances in Distributed DataMining, AAAI Press, 1999.
8. F.Provost and D.Hennessy. Scaling up: Distributed machine learning with cooperation. Working Notes of IMLM-96, 1996, 107-112.
9. K.Ting and I.Witten. Issues in stacked generalization. Journal of Artificial Intelligence Research, 10, 1999, 271-289.
10. L.Todorovski and S.Dzeroski. Combining classifiers with meta decision trees. Proceedings of 4th European Conference on Principles of Data Mining and Knowledge Discovery (PKDD- 00), Springer Verlag, 2000, 54-64.
11. http://kdd.ics.uci.edu/databases/kddcup99/.