Swarm optimisation as a new tool for data mining

Proceedings - International Parallel and Distributed Processing Symposium, IPDPS 2003

Volumn , Issue , 2003, Pages

  Sousa, Tiago ^a   Neves, Ana ^a,b   Silva, Arlindo ^a,b  

^a INSTITUTO POLITÉCNICO DE CASTELO BRANCO   (Portugal)

^b UNIVERSITY OF COIMBRA   (Portugal)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; DECISION SUPPORT SYSTEMS; DISTRIBUTED PARAMETER NETWORKS; EVOLUTIONARY ALGORITHMS; GENETIC ALGORITHMS; OPTIMIZATION; PARTICLE SWARM OPTIMIZATION (PSO);

CLASSIFICATION TASKS; DE FACTO STANDARD; EVOLUTIONARY TECHNIQUES; EXPERIMENTAL TESTING; PROBLEM DOMAIN; RULE DISCOVERY; RULE DISCOVERY ALGORITHMS; SCIENTIFIC FIELDS;

DATA MINING;

EID: 84947224161     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IPDPS.2003.1213275     Document Type: Conference Paper

References (11)

1. Kennedy, J. and Ebcrhart, R. C., "Particle Swarm Optimization", Proc. IEEE, International Confcrcnce on Ncnral Networks. Piscataway, NJ, pp. 1942-1948, 1995.
2. Fayyad, U. M., Piatetsky-Shapiro, G. and Smyth, P., (1996). "From Data Mining to Knowledge Discovery: An Overview", Cambridge: AAAI/MIT, Advances in Knowledge Discovery & Data Mining, l-34, 1996.
3. Witten, Ian H. and Frank, Eibc, "Data Mining-Practical Machine Learning Tools and Techniques with Java Implementations", Morgan Kauffmann, 1999.
4. Parpinelli, R., Lopes, H. and Frcitas, A., "An Ant Colony Algorithm for Classification Rule Discovery", Idea Group, 2002.
5. Lopes, H. S., Coutinho, M. S. and W. C., "An Evolutionary Approach to Simulate Cognitive Feedback Learning in Medical Domain", in "Genetic Algorithms and Fuzzy Logic Systems: Soft Computing Pcrspcctivcs", Word Scientific, 1998.
6. J. Kcnncdy, R. C. Ebcrhart "Swarm Intelligence ", Morgan Kauffman, 2001.
7. Clcrc, M. and Kennedy, J., "The Particle Swarm-Explosion, Stability and Convergence in a Multidimensional Complex Space". IEEE Transactions on Evolutionary Computation, Vol. 6 No. 1, pp. 5%73, 2002.
8. ftp://ftp. cs. waikato. ac. nz/pub/ml/datasets-UCI. jar
9. http://www. ics. uci. cdu/-cmcrz/mldb. Tar. Z
10. Shi, Y. and Eberhart, R. C., "Empirical Study of Particle Swarm Optimization", Proceedings of the 1999 Congress of Evolutionary Computation. Piscatay, NJ, pp. 19451950, 1999.
11. Goldberg, D. E., "Genetic Algorithms in Starch, Optimization, and Machine Learning", Addison-Wesley, Reading, Massachusetts, 1989.