A new ant colony algorithm for multi-label classification with applications in bioinformatics

GECCO 2006 - Genetic and Evolutionary Computation Conference

Volumn 1, Issue , 2006, Pages 27-34

  Chan, Allen ^a   Freitas, Alex A ^a  

^a UNIVERSITY OF KENT   (United Kingdom)

Author keywords

Ant Colony Optimization; Bioinformatics; Data Mining

Indexed keywords

ALGORITHMS; OPTIMIZATION;

ANT COLONY OPTIMIZATION; BIOINFORMATICS; MULTI-LABEL ANT-MINER;

DATA MINING;

EID: 33750270501     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (20)

1. Bonabeau, E. and Theraulaz, G. Swam Smarts, Scientific American, March 2000, pp. 54-56.
2. Bonabeau, E., Dorigo, M. and Theraulaz, G. Swarm Intelligence: from natural to artificial systems, Oxford University Press, 1999.
3. Clare, A. and King, R.D. Knowledge discovery in multi-label phenotype data, Proc. PKDD-2001, LNAI 2168, pp. 42-53. Springer, 2001.
4. Clark, P. and Niblett, T. The CN2 induction algorithm, Machine Learning, Vol. 3, pp 261-283, 1989.
5. Deneubourag, J.L., Aron, S., Goss, S. and Pasteels, J.M. The self-organizing exploratory pattern of the argentine ant, Journal of Insect Behaviour, 3: 159-168, 1990.
6. Dorigo, M., Caro, G.D. and Gambardella, L.M. Ant Algorithms for Discrete Optimization, Artificial Life, Vol 5, No.3, pp. 137-172, 1999.
7. Freitas, A.A. Data Mining and Knowledge Discovery with Evolutionary Algorithms, Springer, 2002.
8. Goss, S., Aron, S., Deneuborg, J.L. and Pasteels, J.M. Self-organized shortcuts in the Argentine Ant, Naturwissenschaften, 76:579-581, 1989.
9. Grassé, P.P. La théorie de la stigmergie: essai d'interprétation du comportement des termites constructeurs, Insectes Sociaux, 6: 41-81, 1959.
10. Karalic, A. and Pirnat, V. Significance level based classification with multiple trees, Informatica, 15(5), 1991.
11. Kendall, M.G. Multivariate Analysis, Second Edition, Charles Griffin, High Wycombe, England, 1980.
12. McCallum, A.K. Multi-Label Text Classification with a Mixture Model Trained by EM, AAAI 99 Workshop on Text Learning, 1999.
13. Parpinelli, R.S., Lopes, H.S. and Freitas, A.A. Data Mining with an Ant Colony Optimization Algorithm, IEEE Trans. On Evolutionary Computation, 6(4), Aug 2002, pp. 321-332.
14. Parpinelli, R.S., Lopes, H.S. and Freitas, A.A. An Ant Colony Algorithm for Classification Rule Discovery, In: Data Mining: a Heuristic Approach, pp. 191-208. Idea Group, 2002.
15. Prosite, http://ca.expasy.org/prosite/ (visited 2005)
16. Quinlan, J.R. C4.5: Programs for Machine Learning, Morgan Kaufmann, 1993.
17. Schapire, R. and Singer, Y. BoosTexter: A boosting-based system for text categorization, Machine Learning, 39(2/3): 135-168, 2000.
18. Suzuki, E., Gotoh, M. and Choki, Y. Bloomy Decision Tree for Multi-objective Classification, Proc. PKDD 2001, LNAI 2168, pp. 436-447, 2001.
19. Uniprot database, http://www.unirpot.org (visited 2005)
20. Wirten, I.H. and Frank, E. Data Mining -Practical Machine Learning Tools and Techniques, 2nd Ed. Morgan Kaufmann, 2005.