Handling continuous attributes in ant colony classification algorithms

2009 IEEE Symposium on Computational Intelligence and Data Mining, CIDM 2009 - Proceedings

Volumn , Issue , 2009, Pages 225-231

  Otero, Fernando E B ^a   Freitas, Alex A ^a   Johnson, Colin G ^a  

^a UNIVERSITY OF KENT   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

ANT COLONIES; ANT COLONY OPTIMISATION; ATTRIBUTE INTERACTIONS; CLASSIFICATION ALGORITHM; CLASSIFICATION MODELS; CONTINUOUS ATTRIBUTE; DATA SETS; EMPIRICAL EVALUATIONS; NOMINAL ATTRIBUTES; REAL-WORLD;

ARTIFICIAL INTELLIGENCE; MINERS; MINING;

DATA MINING;

EID: 67650434714     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CIDM.2009.4938653     Document Type: Conference Paper

References (11)

1. U. Fayyad, G. Piatetsky-Shapiro, and P. Smith, From data mining to knowledge discovery: an overview, in Advances in Knowledge Discovery & Data Mining, U. Fayyad, G. Piatetsky-Shapiro, P. Smith, and R. Uthurusamy, Eds. MIT Press, 1996, pp. 1-34.
2. M. Dorigo and T. Stutzle, Ant Colony Optimization. MIT Press, 2004.
3. F. Otero, A. Freitas, and C.G.Johnson, cAnt-Miner: an ant colony classification algorithm to cope with continuous attributes, in Ant Colony Optimization and Swarm Intelligence (Proc. ANTS 2008), LNCS 5217. Springer, 2008, pp. 48-59.
4. R. Parpinelli, H. Lopes, and A. Freitas, Data mining with an ant colony optimization algorithm, IEEE Transactions on Evolutionary Computation, vol. 6, no. 4, pp. 321-332, 2002. (Pubitemid 35032734)
5. A. Freitas, R. Parpinelli, and H. Lopes, Ant colony algorithms for data classification, To apper in Encyclopedia of Info. Sci. & Tech. 2nd Ed, 2008.
6. U. Fayyad and K. Irani, Multi-interval discretization of continuousvalued attributes for classification learning, in Thirteenth International Joint Conference on Artifical Inteligence. Morgan Kaufmann, 1993, pp. 1022-1027.
7. D. Martens, M. D. Backer, R. Haesen, J. Vanthienen, M. Snoeck, and B. Baesens, Classification with ant colony optimization, IEEE Transactions on Evolutionary Computation, vol. 11, no. 5, pp. 651- 665, 2007. (Pubitemid 47527996)
8. A. Asuncion and D. Newman, UCI Machine Learning Repository, http://www.ics.uci.edu/-mlearn/MLRepository.html, 2007.
9. H. Witten and E. Frank, Data Mining: Practical Machine Learning Tools and Techniques, 2nd ed. Morgan Kaufmann, 2005.
10. J. Quinlan, C4.5: Programs for Machine Learning. Morgan Kaufmann, 1993.
11. R. Kohavi and M. Sahami, Error-based and entropy-based discretization of continuous features, in Proceedings of the 2nd International Conference Knowledge Discovery and Data Mining. AAAI Press, 1996, pp. 114-119.