Text document classification using swarm intelligence

2005 International Conference on Integration of Knowledge Intensive Multi-Agent Systems, KIMAS'05: Modeling, Exploration, and Engineering

Volumn 2005, Issue , 2005, Pages 134-139

  Vizine, André L ^a   De Castro, Leandro N ^a   Gudwin, Ricardo R ^b  

^a CATHOLIC UNIVERSITY OF SANTOS   (Brazil)

^b UNIVERSITY OF CAMPINAS   (Brazil)

Author keywords

[No Author keywords available]

Indexed keywords

ADAPTIVE ALGORITHMS; AUTOMATION; BIODIVERSITY; COMPUTATIONAL METHODS; TEXT PROCESSING; WEBSITES;

ANT-CLUSTERING ALGORITHM; SWARM INTELLIGENCE; TEXT DOCUMENT; WEB DOCUMENTS;

ARTIFICIAL INTELLIGENCE;

EID: 33745226676     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/KIMAS.2005.1427067     Document Type: Conference Paper

References (22)

1. R. Baeza-Yates and B. Ribeira-Neto, Modem Information Retrieval, Addison Wesley, (1999).
2. th Int. Conf. on Information and Knowledge Management, pp. 139-146, (1999).
3. S. Lawrence, C. L. Giles and K. Bollacker, "Research Feature Digital Libraries and Autonomous Citation Indexing", IEEE Computer, 32(6), pp.67-71, (1999).
4. rd Int. Conf. on Simulation of Adaptive Behaviour: From Animals to Animats, pp. 501-508. (1994).
5. st Int. Conf. on Simulation of Adaptive Behavior: From Animals to Animals, pp.356-365, (1991).
6. L. N. de Castro, and F. J. Von Zuben, Recent Developments in Biologically Inspired Computing, Idea Group Inc., Hershey-PA, (2004).
7. E. Bonabeau, M. Dorigo, M. and G. Théraulaz, Swarm Intelligence from Natural to Artificial Systems, Oxford University Press, (1999).
8. J. Kennedy and R. Eberhart, Swarm Intelligence, Morgan Kaufmann Publishers, (2001).
9. G. Beni, "The Concept of Cellular Robotic Systems", Proc. of the IEEE Int. Symp. on Intelligent Control, pp. 57-62, (1988).
10. th Annual Meeting of the Robotics Society of Japan, pp. 425-428, (1989).
11. E. Bonabeau, "From Classical Models of Morphogenesis to Agent-Based Models of Pattern Formation", Artificial Life, 3, pp. 191-211, (1997).
12. E. Lumer, and B. Faieta, "Exploratory Database Analysis via Self-Organization", Unpublished Manuscript, (1995).
13. rd Int. Conf. on Simulation of Adaptive Behaviour: From Animals to Animals, pp. 494-500, (1994).
14. P. Kuntz and D. Snyers, "New Results on an Ant-Based Heuristic for Highlighting the Organization of Large Graphs", Proc. of the IEEE Congress on Evolutionary Computation, pp. 1451-1458, (1999).
15. P. Kuntz, D. Snyers, and P. Layzell, "A Stochastic Heuristic for Visualizing Graph Clusters in a Bi-Dimensional Space Prior to Partitioning", Journal of Heuristics, 5(3), pp. 327-351, (1998).
16. rd Int. Workshop on Ant Algorithms, Lecture Notes in Computer Science 2463, Springer-Verlag, pp. 256-261, (2002).
17. th International Conference on Parallel Problem Solving from Nature, Lecture Notes in Computer Science 2439, Springer-Verlag, pp. 913-923, (2002).
18. st Spanish Conference on Evolutionary and Bio-Inspired Algorithms, pp. 284-293, (2002).
19. G. Salton and M. J. McGill, "The SMART and SIRE Experimental Retrieval Systems", In Readings in Information Retrieval, K. S. Jones and P. Willett (Eds.), Morgan Kaufmann Publishers Inc. (1997), pp. 381-399.
20. K. Lagus and S. Kaski, "Keyword Selection Method for Characterizing Text Documents Maps", Artificial Neural Networks, 7, pp. 371-376, (1999).
21. V. Sherafat, L. N. de Castro, and E. R. Hruschka, "The Influence of Pheromone and Adaptive Vision on the Standard Ant Clustering Algorithm", In: L. N. de Castro and F. J. Von Zuben, Recent Developments in Biologically Inspired Computing, Chapter IX, pp. 207-234. Idea Group Inc., (2004).
22. N. Monmarché, M. Slimane, G. Venturini, "On Improving Clustering in Numerical Databases with Artificial Ants", Advances in Artificial Life, D. Floreano, J. D. Nicoud, and F. Mondala (Eds.), Lecture Notes in Computer Science 1674, pp. 626-635, Springer-Verlag, Berlin, (1999).