Comparative Study of Pattern Mining Techniques for Network Management System Logs for Convergent Network

Abstract.1 The concept of Pattern Mining has obtained significant focus in Telecommunications Network Management System (NMS). A big volume of literature has been dedicated to this field and valuable progress was also observed. Both sequential and structured pattern mining techniques were observed to be considered in NMS. In particular NMS logs (Performance and Alarm) pose several interesting issues for pattern mining. Pattern mining can help in various NMS activities such as alarm correlation, alarm associations, self-healing or pro-active fault management. In this review article, we present an overview of the different pattern mining techniques used in NMSs, compare them and finally select the best that can be beneficial to NMS for Radio over Fiber (RoF) like convergent networks. The pattern mining technique will be one of the basic steps that will be needed to implement various data processing functionalities (such as using sequential pattern mining to extract episode rules from network system alarms) of an intelligent NMS