针对目前动态数据挖掘中存在的问题，提出基于数据增量的动态挖掘进程概念；在动态挖掘进程和生物免疫进化过程的相似性基础上，提出了知识发现中的免疫进化机制的基本内涵；给出了基于免疫进化机制的时序模式挖掘算法及其实验分析，以验证理论的正确性和有效性。

A new approach to solve the problem of dynamic data mining is presented. Firstly a new concept of dynamic mining process is proposed. Next the evolutionary immune mechanism in KDD is illustrated, based on a comparison between the dynamic mining process and biological immune process.Additionally how to apply the approach to temporal sequential pattern mining and evaluate the experimental results are described. Finally the work and present proposals for future work are concluded.