A Data Preprocessing Optimization Method based on Sliding Time Window in Communication Alarm Events

DOI

10.2991/icmemtc-16.2016.60How to use a DOI?

Keywords

fault analysis; communication alarm; quality evaluation; alarm sequence partition.

Abstract

In communication fault analysis, mining history alarm data to acquire correlation knowledge has become an inevitable trend. Owing to low efficiency of traditional alarm preprocessing methods, a new preprocessing optimization method is proposed. The quality of alarm sequence partition is evaluated by difference alarm time segment using sliding time window, and the optimal partition based on double constraint and K-average is introduce to extract the alarm transactions by sliding time window so as to acquire better preprocessing results. The performance simulation indicates that this method has higher preprocessing efficiency of alarm sequence and overcomes the problem that the traditional methods are not fully applicable to the alarm sequence, which provides support for the analysis of the follow-up alarm data.

Copyright

© 2016, the Authors. Published by Atlantis Press.

Open Access

This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).

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TY  - CONF
AU  - Wengang Chen
AU  - WenWei Chen
AU  - Bing Fan
AU  - Runze Wu
AU  - Yanru Wang
AU  - Junli Fan
PY  - 2016/04
DA  - 2016/04
TI  - A Data Preprocessing Optimization Method based on Sliding Time Window in Communication Alarm Events
BT  - Proceedings of the 2016 3rd International Conference on Materials Engineering, Manufacturing Technology and Control
PB  - Atlantis Press
SP  - 313
EP  - 319
SN  - 2352-5401
UR  - https://doi.org/10.2991/icmemtc-16.2016.60
DO  - 10.2991/icmemtc-16.2016.60
ID  - Chen2016/04
ER  -