A network method to identify the dynamic changes of the data flow with spatio-temporal feature
Author:
Funder
Natural Science Foundation of Inner Mongolia
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence
Link
https://link.springer.com/content/pdf/10.1007/s10489-021-02591-0.pdf
Reference36 articles.
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3. Agrawal S, Steinbach M, Boley D, Chatterjee S, Atluri G, The Dang A, Liess S, Kumar V (2020) Mining novel multivariate relationships in time series data using correlation networks. IEEE Trans Knowl Data Eng 32(9):1798–1811. https://doi.org/10.1109/TKDE.2019.2911681
4. Hartman D, Hlinka J, Palus M (2011) The role of nonlinearity in computing graph-theoretical properties of resting-state functional magnetic resonance imaging brain networks. Chaos 21(1):013119. https://doi.org/10.1063/1.3553181
5. Rangaprakash D (2017) Binarized brain connectivity: a novel autocorrelation based iterative synchronization technique. IEEE Trans Signal Inf Process over Netw 3(4):660–668. https://doi.org/10.1109/TSIPN.2017.2672400
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