Nowadays, with the continuous development of science and technology, the social demand for the network is more and more, and with the continuous expansion of the network scale, the complexity of the network is increasing day by day. How to locate the fault accurately and quickly from a large number of alarm information has become a problem. To solve this problem, we must use computer technology to study the automatic analysis technology of alarm correlation. Therefore, this paper applies data mining technology to communication network alarm analysis, and based on fuzzy theory, it can accurately describe the relationship between network alarm and fault reason, and combines data mining technology with fuzzy theory to form the network alarm correlation analysis method of fuzzy association rule mining. On this basis, in order to mine the fuzzy association rules of the fuzzy alarm database directly and avoid the interference in the process of converting the alarm database to the transaction database, this paper proposes a dynamic time window fuzzy association rule mining algorithm. Through the simulation analysis, compared with the traditional data mining technology, the fuzzy association rules mining method combined with the fuzzy theory has better performance, and the further proposed dynamic time window fuzzy association rules mining algorithm greatly improves the accuracy of the association rules confidence, and has good application performance in the network alarm correlation analysis.

如今，随着科学技术的不断发展，社会对网络的需求越来越大，并且随着网络规模的不断扩大，网络的复杂性也在日益增加。如何从大量警报信息中准确，快速地定位故障已成为一个问题。为了解决这个问题，必须使用计算机技术来研究警报关联的自动分析技术。因此，本文将数据挖掘技术应用于通信网络的告警分析，并基于模糊理论，可以准确地描述网络告警与故障原因之间的关系，并将数据挖掘技术与模糊理论相结合，形成网络告警相关性分析方法。模糊关联规则挖掘。在此基础上，为了直接挖掘模糊报警数据库的模糊关联规则，避免在将报警数据库转换为交易数据库的过程中受到干扰，提出了一种动态时间窗模糊关联规则挖掘算法。通过仿真分析，与传统的数据挖掘技术相比，结合模糊理论的模糊关联规则挖掘方法具有更好的性能，进一步提出的动态时间窗模糊关联规则挖掘算法大大提高了关联规则置信度的准确性，在网络告警关联分析中具有良好的应用性能。提出了一种动态时间窗模糊关联规则挖掘算法。通过仿真分析，与传统的数据挖掘技术相比，结合模糊理论的模糊关联规则挖掘方法具有更好的性能，进一步提出的动态时间窗模糊关联规则挖掘算法大大提高了关联规则置信度的准确性，在网络告警关联分析中具有良好的应用性能。提出了一种动态时间窗模糊关联规则挖掘算法。通过仿真分析，与传统的数据挖掘技术相比，结合模糊理论的模糊关联规则挖掘方法具有更好的性能，进一步提出的动态时间窗模糊关联规则挖掘算法大大提高了关联规则置信度的准确性，在网络告警关联分析中具有良好的应用性能。