电信网络领域实时数据挖掘的智能代理技术

Intelligent agent technology for real-time data mining in telecommunication networks

由于电信网络环境的动态性,DM(数据挖掘)技术的简单应用并不足以及时获取到更深层的知识。文章首先对基于DM技术实时状态下的应用提出一种方法论,把电信数据转换为知识这一系列过程;然后,通过智能代理框架来协助实时环境下的DM流程;最后,对基于智能代理获取到实时知识的DM技术的整合进行案例分析。实验表明,实时知识是管理电信网络的关键。

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 ap- plications 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 analy- sis 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.