基于Agent技术的Web个性化数据挖掘研究

The Research of Web Personalized Data Mining Based on the Agent

本文讨论了基于Web的概念、特性、分类以及相关技术,并在此基础上阐述了Web数据挖掘结构。然后对Agent技术进行了分析,根据Agent技术的智能性、移动性等特征,构造了一个关于Agent的Web个性化数据挖掘模型,设计了一个以J2EE技术的Web挖掘系统平台,通过实验分析结果和运行程序,得出的结论是基于J2EE平台,使用先进的移动Agent技术的Web挖掘,最终能够降低挖掘成本、提高挖掘效率。

This paper discusses the concept, characteristics, classification and related technologies, and expounds the structure of Web data mining. Then the Agent technology is analyzed, based on intelligent, mobility, etc. , we construct a personalized Web data mining model and design a system platform based on J2EE. Through the experimental analysis resuhs and running program, we find that the sys- tem platform used of advanced mobile Agent, it is able to reduce the mining cost and improves the mining efficiency,