Intelligent Analysis Method of Multidimensional Time Series Data Based on Deep Learning

Author:

Chen Zhongwei,Li Xiaofeng

Publisher

Springer Nature Switzerland

Reference10 articles.

1. Shaukat, F., Mir, J., Linsen, L., et al.: Interactive visual analytics tool for multidimensional quantitative and categorical data analysis. Inf. Vis. 19(3), 234–246 (2020)

2. Zhao, P., Chang, X., Wang, M.: A novel multivariate time-series anomaly detection approach using an unsupervised deep neural network. IEEE Access 9(2), 109025–109041 (2021)

3. Tao, T., Zhou, X., Ma, B., et al.: Abnormal time series data detection of gas station by Seq2Seq model based on bidirectional long short-term memory. J. Comput. Appl. 39(3), 924–929 (2019)

4. Xia, Y., Han, X.: Multi-dimensional time series data anomaly detection fusing statistical methods and bidirectional convolutional LSTM. Appl. Res. Comput. 39(05), 1362–1367+1409 (2022)

5. Meng, C., Jiang, X.S., Wei, X.M., et al.: A time convolutional network based outlier detection for multidimensional time series in cyber-physical-social systems. IEEE Access 56(2), 451–455 (2020)

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