Big mobility data analytics: recent advances and open problems-Reference-Cited by-同舟云学术

Big mobility data analytics: recent advances and open problems

Published:2022-10 Issue:4 Volume:26 Page:541-549
ISSN:1384-6175
Container-title:GeoInformatica
language:en
Short-container-title:Geoinformatica

Author:

Sakr Mahmoud,Ray Cyril,Renso Chiara

Publisher

Springer Science and Business Media LLC

Subject

Geography, Planning and Development,Information Systems

Link

https://link.springer.com/content/pdf/10.1007/s10707-022-00483-0.pdf

Reference25 articles.

1. Mokbel M, Sakr M, Xiong L, Züfle A, Almeida J, Anderson T, Aref W, Andrienko G, Andrienko N, Cao Y, et al (2022) Mobility data science (Dagstuhl seminar 22021). In Dagstuhl reports, vol. 12. Schloss Dagstuhl-Leibniz-Zentrum für Informatik

2. Palpanas T, Pelekis N, Theodoridis Y (2021) Special issue on big mobility data analytics (BDMA 2019). GeoInformatica 25(2)

3. Pelekis N, Renso C, Theodoridis Y, Zeitouni K (2022) Special issue on big mobility data analytics (BDMA 2020). GeoInformatica 26(3)

4. Etemad M, Júnior AS, Hoseyni A, Rose J, Matwin S (2019) A trajectory segmentation algorithm based on interpolation-based change detection strategies. In: EDBT/ICDT Workshops

5. Cheng S, Lu F (2018) Short-term traffic forecasting: A dynamic ST-KNN model considering spatial heterogeneity and temporal non-stationarity. In: EDBT/ICDT workshops, pp. 133–140

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