Empowering smart city situational awareness via big mobile data
Author:
Publisher
Zhejiang University Press
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Signal Processing
Link
https://link.springer.com/content/pdf/10.1631/FITEE.2300453.pdf
Reference98 articles.
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2. Albanese M, Jajodia S, Venkatesan S, et al., 2019. Adaptive cyber defenses for botnet detection and mitigation. In: Jajodia S, Cybenko G, Liu P, et al (Eds.), Adversarial and Uncertain Reasoning for Adaptive Cyber Defense: Control- and Game-Theoretic Approaches to Cyber Security. Springer, Cham, p.156–205. https://doi.org/10.1007/978-3-030-30719-6_8
3. Andrienko G, Andrienko N, Bosch H, et al., 2013. Thematic patterns in georeferenced tweets through space-time visual analytics. Comput Sci Eng, 15(3):72–82. https://doi.org/10.1109/MCSE.2013.70
4. Andrienko G, Andrienko N, Fuchs G, et al., 2017. Revealing patterns and trends of mass mobility through spatial and temporal abstraction of origin-destination movement data. IEEE Trans Vis Comput Graph, 23(9):2120–2136. https://doi.org/10.1109/TVCG.2016.2616404
5. Andrienko N, Andrienko G, 2013. Visual analytics of movement: an overview of methods, tools and procedures. Inform Visual, 12(1):3–24. https://doi.org/10.1177/1473871612457601
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