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介绍一个用多Agent实现的主动式KDD系统的设计与实现。系统在建模的基础上挖掘知识,结合Agent技术和机器学习的方法,逐步建立出越来越符合用户兴趣的模型,并试图发现尽可能多的用户兴趣点。
This paper introduces the design and implementation of an active KDD system using multi-agent. Based on the modeling, the system digs knowledge, and combines the Agent technology and machine learning method to gradually build a model that is more and more in line with the users’ interests and tries to find as many user points of interest as possible.