Abstract
This paper presents the concept of applying indices, data fusion and mathematical models using immunocomputing approach. The application of indices by immunocomputing can reduce large quantities of variable data relating to a complex interacting dynamic system, into a single general value or index that represents all of those factors (data fusion) to achieve a solution to a practical problem. To illustrate the concept, this article provides examples of mathematical models showing the identification of intrusions into computer networks and the occurrence of plague in Kazakhstan.
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Sokolova, L. (2003). Index Design by Immunocomputing. In: Timmis, J., Bentley, P.J., Hart, E. (eds) Artificial Immune Systems. ICARIS 2003. Lecture Notes in Computer Science, vol 2787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45192-1_12
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DOI: https://doi.org/10.1007/978-3-540-45192-1_12
Publisher Name: Springer, Berlin, Heidelberg
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