An Immune Algorithm for KDD

摘要

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 in the globally parallel process, restrain or avoid repetitive and useless work during the course, 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.