基于行为分析的误码预警模型研究

Research on error early warning model based on behavior analysis

文章以网络管理和维护中的误码问题为研究对象,对网管设备告警产生的误码行为信息进行深入分析探讨,归纳了产生误码行为数据的特点,并将其作为数据挖掘的来源。在此基础上构建了基于行为分析的误码预警挖掘模型,从而实现高效、准确和及时预测误码发生的可能性,以便采取应对和防范措施。

This paper studies the bit error problem in network management and maintenance in detail. It summarizes the characteristics of the error behavior data and takes the data as the source of data mining. On this basis, we build a mining model based on error warning behavior analysis to achieve efficient, accurate and timely prediction of the likelihood of error occurrence so as to take preventive measures and response.