Owing to the dynamic environment of telecommunication networks

simple applications of the Data Mining（DM） technology are not sufficient for timely acquirement of deeper knowledge.This paper first proposes a methodology for the applications in the DM-based real-time status

which converts the telecommunication data into a series of knowledge processes

and then assists the DM flow in real-time environment with an intelligent agent framework.Finally

it carries out a case analysis of the integration of the DM technology for the acquired intelligent agent-based real-time knowledge.Experimental results show that real-time knowledge is the key to the management of telecommunications networks.