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Proceedings Paper

Immune algorithm for KDD
Author(s): Jianguo Zheng; Lei Wang; Licheng Jiao
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Paper 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.

Paper Details

Date Published: 25 September 2001
PDF: 6 pages
Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441583
Show Author Affiliations
Jianguo Zheng, Xidian Univ. (China)
Lei Wang, Xidian Univ. (China)
Licheng Jiao, Xidian Univ. (China)

Published in SPIE Proceedings Vol. 4553:
Visualization and Optimization Techniques
Yair Censor; Mingyue Ding, Editor(s)

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