Abstract
Due to the long data transmission distance and the highly dynamic changes of communication nodes, the transmission loss and the link error rate of information are significantly increased during transmission. In this paper, based on the features of the communication network, an alarm feature analysis algorithm is proposed. By analyzing the original alarm data with repetition, redundancy and noise, it is finally converted into multiple alarm transaction sets. In the design process, the improved affinity propagation clustering algorithm is proposed and the entropy weight method is used to process the alarm data, which improves the efficiency of extracting alarm transactions. This paper also proposes a method for processing delayed alarm data, which is quickly analyzed under the premise that the delay information is not discarded. Experiments show that the algorithm designed in this paper can effectively improve the efficiency of analyzing alarm information.
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Acknowledgements
This work was supported in part by Open Subject Funds of Science and Technology on Information Transmission and Dissemination in Communication Networks Laboratory (SKX182010049), Fundamental Research Funds for the Central Universities (2019PTB-019), the Industrial Internet Innovation and Development Project 2018 of China.
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Ji, X., Shi, X., Han, J., Huo, Y., Yang, Y. (2021). The Alarm Feature Analysis Algorithm for Communication Network. In: Liu, Q., Liu, X., Li, L., Zhou, H., Zhao, HH. (eds) Proceedings of the 9th International Conference on Computer Engineering and Networks . Advances in Intelligent Systems and Computing, vol 1143. Springer, Singapore. https://doi.org/10.1007/978-981-15-3753-0_25
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DOI: https://doi.org/10.1007/978-981-15-3753-0_25
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