Title :
Network Topology Constraint Based Transaction Separation and Mining Algorithm of Telecom Alarm
Author :
Chen, Jun ; Zhang, Bin ; Li, Guohui
Author_Institution :
Pattern Recognition & Intell. Syst. Lab., Beijing Univ. of Posts & Telecommun., Beijing
Abstract :
The efficiency of alarm mining in large scale network is a hot topic in research area of fault location. Many projects have been utilized to improve it and some advance has been achieved, but it is still not very satisfied. Large scale telecom system daily generates large numbers of original alarm records and many of them are redundant information, actually useful information for fault location is only a small part. So in order to increase efficiency of alarm mining, we propose a solution called network topology constraint based transaction separation in this paper and we also compare it with the method of adding topology constraint into mining algorithms. The experiments show that separating transaction with network topology constraint deletes a huge number of redundant alarm information and incorrect transaction sets before executing mining algorithms, therefore, it is can be more efficient and precise than topology constraint based mining algorithm, which filters erroneous frequent sub-patterns during algorithm execution.
Keywords :
alarm systems; data mining; fault location; set theory; telecommunication computing; telecommunication network topology; fault location; large scale network; large scale telecom system; mining algorithm; network topology constraint; redundant alarm information; telecom alarm; topology constraint based mining algorithm; transaction separation; transaction sets; Cleaning; Data mining; Fault location; GSM; Intelligent networks; Intelligent systems; Large-scale systems; Network topology; Pattern recognition; Telecommunication network topology; alarm mining; mining algorithm; network topology constraint; telecom alarm; transaction separation;
Conference_Titel :
Knowledge Acquisition and Modeling Workshop, 2008. KAM Workshop 2008. IEEE International Symposium on
Print_ISBN :
978-1-4244-3530-2
Electronic_ISBN :
978-1-4244-3531-9
DOI :
10.1109/KAMW.2008.4810473