Ramos V. and Merelo J.J., Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning, Procs. of AEB02 - 1st Spanish Conf. on Evolutionary and Bio-Inspired Algorithms, Spain, pp. 284-293, 2002. Home/Search Document Details and Download
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ANTIDS: Self Organized Ant-Based Clustering Model for.. - Vitorino Ramos And (2004) (1 citation) Self-citation (Ramos) (Correct)
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Ramos V. and Merelo J.J., Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning, Procs. of AEB02 - 1st Spanish Conf. on Evolutionary and Bio-Inspired Algorithms, Spain, pp. 284-293, 2002.
Web Usage Mining Using Artificial Ant Colony Clustering and.. - Abraham, Ramos (2003) (1 citation) Self-citation (Vitorino) (Correct)
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Ramos, Vitorino and Merelo, Juan J. "Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning", in E. Alba, F. Herrera, J.J. Merelo et al. (Eds.), AEB02 - 1st Int. Conf. On Metaheuristics, Evolutionary and BioInspired Algorithms, pp. 284-293, Mrida, Spain, 2002.
Web Usage Mining Using Artificial Ant Colony Clustering and.. - Abraham, Ramos (2003) (1 citation) Self-citation (Ramos) (Correct)
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Ramos V. and Merelo J. J., Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning, in E. Alba, F. Herrera, J.J. Merelo et al. (Eds.), AEB02 - 1st Int. Conf. On Metaheuristics, Evolutionary and BioInspired Algorithms, pp. 284-293, Mrida, Spain, 2002.
Evolving a Stigmergic Self-Organized Data-Mining - Ramos, Abraham (2004) (1 citation) Self-citation (Ramos) (Correct)
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Ramos V. and Merelo J.J., 2002. Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning. Procs. of AEB02 - 1 Spanish Conference on Evolutionary and Bio-Inspired Algorithms, Mrida Univ., Spain, Feb. 02, pp. 284-293.
Swarms on Continuous Data - Ramos, Abraham (2003) Self-citation (Ramos) (Correct)
.... and Data Mining Systems [15,10] interactive and online forms of Web Applications are just one example) This disadvantge is also present in more recent approaches using Self Organizing Maps [4,22] On the present work, and exploiting past sucesses in recently proposed Stigmergic Ant Systems [16,17] a robust online classifier is presented, which produces class decisions on a continuous stream data, allowing for continuous mappings. Results show that increasingly better results are achieved, as demonstraded by other authors in different areas [9,2] 1 Introduction Synergy, from the Greek ....
....etc. Given the variety of attributes, some of them qualitative and others quantitative, they had to define several dissimilarity measures for the different classes of attributes, and to combine them into a global dissimilarity measure (in, pp. 163, Chapter 4 [1] More recently, Ramos et al. [16,17,18] presented a novel strategy (ACLUSTER) to tackle unsupervised clustering as well as data retrieval problems, avoiding not only short term memory based strategies, as well as the use of several artificial ant types (using different speeds) present in those approaches proposed by Lumer and Faieta ....
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V. Ramos, J.J. Merelo (2002), "Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning", in E. Alba, F. Herrera, J.J. Merelo et al. (Eds.), Procs. of AEB02 - Spanish Conference on Evolutionary and BioInspired Algorithms, Mrida Univ., Spain, pp. 284293.
Ant-Based Clustering: A Comparative Study of its relative .. - Handl, Knowles, Dorigo (2003) (Correct)
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V. Ramos and J.J. Merelo. Self-organized stigmergic document maps: Environments as a mechanism for context learning. In Proceedings of the First Spanish Conference on Evolutionary and Bio-Inspired Algorithms, pages 284--293. Centro Univ. Merida, Merida, Spain, 2002.
Ant Colony Optimisation for E-Learning: Observing the.. - Yann Semet Evelyne (Correct)
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V.Ramos, J. J. Merelo, Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning. In 1st Spanish Conference on Evolutionary and Bio-Inspired Algorithms, E. Alba, F. Herrera, J.J. Merelo et al. (Eds.), pp. 284-293, Spain, 6-8 Feb. 2002.
On the Performance of Ant-Based Clustering - Handl, Dorigo (2003) (2 citations) (Correct)
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V. Ramos and J.J. Merelo. Self-organized stigmergic document maps: Environments as a mechanism for context learning. In Proceedings of the First Spanish Conference on Evolutionary and Bio-Inspired Algorithms (AEB 2002.
On the Performance of Ant-Based Clustering - Handl, Knowles, Dorigo (2003) (2 citations) (Correct)
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V. Ramos and J.J. Merelo. Self-organized stigmergic document maps: Environments as a mechanism for context learning. In Proceedings of the First Spanish Conference on Evolutionary and Bio-Inspired Algorithms (AEB 2002.
Distributed Data Mining Bibliography - Hillol (Correct)
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V. Ramos and J. J. Merelo. Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning, volume 1 of AEB2002.
NAFIPS, p. 227-232 - Fuzzy Ants As (Correct)
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V. Ramos and J.J. Merelo, Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning, in AEB2002.
Ant Colony Optimisation for E-Learning: Observing the.. - Yann Semet Evelyne (Correct)
No context found.
V.Ramos, J. J. Merelo, Self-Organized Stigmergic Document Maps: Environment as a Mechanism for Context Learning. In 1st Spanish Conference on Evolutionary and Bio-Inspired Algorithms, E. Alba, F. Herrera, J.J. Merelo et al. (Eds.), pp. 284-293, Spain, 6-8 Feb. 2002.
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