A Dynamic Data Mining Method Using Evolutionary and Immune Characteristics

An evolution-immunity principle in dynamic miming process has been shown. Then a framework for evolution immune integration with fuzzy tacking is designed. A robust coordinator is used to set the robust index and dynamically evaluate the evolution in order to solve the problems such as degeneration, missing optimum and local optimum. An algorithm for Web mining based on the framework is feasible and effective. In the future, the theoretical basis for the integration should be further strengthened in order to extend the framework design. More possible applications for the approach should be explored.