Spatial–temporal regularized tensor decomposition method for traffic speed data imputation
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Theory and Mathematics,Computer Science Applications,Modeling and Simulation,Information Systems
Link
https://link.springer.com/content/pdf/10.1007/s41060-023-00412-w.pdf
Reference59 articles.
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2. Li, L., Li, Y., Li, Z.: Efficient missing data imputing for traffic flow by considering temporal and spatial dependence. Transp. Res. Part C Emerging Technol. 34, 108–120 (2013)
3. Gharehchopogh, F.S., Shayanfar, H.: Automatic data clustering using farmland fertility metaheuristic algorithm. In: Advances in Swarm Intelligence: Variations and Adaptations for Optimization Problems, pp. 199–215. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-09835-2_11
4. Piri, J., Mohapatra, P., Acharya, B., Gharehchopogh, F.S., Gerogiannis, V.C., Kanavos, A., Manika, S.: Feature selection using artificial gorilla troop optimization for biomedical data: A case analysis with covid-19 data. Mathematics 10(15), 2742 (2022). https://doi.org/10.3390/math10152742
5. Sorkhabi, L.B., Gharehchopogh, F.S., Shahamfar, J.: A systematic approach for pre-processing electronic health records for mining: case study of heart disease. Int. J. Data Min. Bioinform. 24(2), 97–120 (2020). https://doi.org/10.1504/IJDMB.2020.110154
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