The improved clustering algorithm is used to analyze the data anomalies in the network environment

Xiaojia Lin

doi:10.1117/12.2674851

23 May 2023 The improved clustering algorithm is used to analyze the data anomalies in the network environment

Xiaojia Lin

Proceedings Volume 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022); 126041G (2023) https://doi.org/10.1117/12.2674851
Event: 2nd International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 2022, Guangzhou, China

Abstract

In this paper, an improved clustering algorithm is proposed and a heterogeneous model based on this model is developed. A new data extraction technology, such as data classification, network platform anomaly detection, distributed maximum frequent sequence extraction, comparison and mining of maximum frequent sequence data, is adopted. Through the comparison experiment, it is found that the algorithm can better reflect the correlation with the corresponding abnormal data types, and can better reflect the actual use of the algorithm.

Citation Download Citation

Xiaojia Lin "The improved clustering algorithm is used to analyze the data anomalies in the network environment", Proc. SPIE 12604, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2022), 126041G (23 May 2023); https://doi.org/10.1117/12.2674851

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