Abstract
A method is presented that applies the properties of immune system for visualizing the topic distribution over a document set, as well as the topic stream through a sequence of document sets.
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References
Takama, Y. and Hirota, K., “Web Information Visualization Method Employing Immune Network Model for Finding Topic Stream from Document-Set Sequence,” J. of New Generation Computing, Vol. 21, No. 1, pp. 49–59, 2003.
Takama, Y., Hirota, K., “Web Information Visualization Based on Immune Network Metaphor,” J. of Japan Society for Fuzzy Theory and Systems, 14,5, pp. 472–481, 2002.
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© 2003 Springer-Verlag Berlin Heidelberg
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Takama, Y. (2003). Visualization of Topic Distribution Based on Immune Network Model. In: Cantú-Paz, E., et al. Genetic and Evolutionary Computation — GECCO 2003. GECCO 2003. Lecture Notes in Computer Science, vol 2723. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45105-6_30
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DOI: https://doi.org/10.1007/3-540-45105-6_30
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