Immune algorithm for KDD

Jianguo Zheng; Lei Wang; Licheng Jiao

doi:10.1117/12.441583

25 September 2001 Immune algorithm for KDD

Jianguo Zheng, Lei Wang, Licheng Jiao

Proceedings Volume 4553, Visualization and Optimization Techniques; (2001) https://doi.org/10.1117/12.441583
Event: Multispectral Image Processing and Pattern Recognition, 2001, Wuhan, China

Abstract

Data mining usually means an efficient discovery of knowledge from databases, and the immune algorithm is a biological theory-based and globally searching algorithm. The aim of applying immune concepts and the concerned theories is mainly to utilize the local information to intervene int eh globally parallel process, restrain or avoid repetitive and useless work during the courses, so as to overcome the blindness in action of the crossover and mutation. Three important data mining issues addressed by the algorithm are the interest of the discovered knowledge, the computational efficiency of the algorithm, and the trade-off between expressiveness and efficiency.

Citation Download Citation

Jianguo Zheng, Lei Wang, and Licheng Jiao "Immune algorithm for KDD", Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); https://doi.org/10.1117/12.441583

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