基于免疫学习算法的Web数据挖掘方法

Study on WEB Data Mining Method Based on Immune Learning Algorithm

在研究免疫识别机制的基础上,探讨基于免疫学习算法的Web数据挖掘方法。并将该方法应用到用户信息搜索中,挖掘用户的个性化行为,更加高效准确地获取信息。仿真结果表明,该方法能够有效地对获得的数据进行分类,具有一定的可行性和实用性。

In this paper, on the basis of studying immune recognition mechanism, we discuss a Web data mining method based on immune learning algorithm. Furthermore, the method is applied to information search in order to mine each user＇s individuation behavior and acquire information more exactly. Simulation results show that the method can classify the acquiring data effectively and have certain feasibility and practicability.