An experimental study of existing tools for outlier detection and cleaning in trajectories
Author:
Funder
EU’s Horizon Europe research Mobispaces
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10707-024-00522-y.pdf
Reference44 articles.
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2. Bakli M, Sakr M, Zimanyi E (2019) Distributed moving object data management in mobilitydb. In: Proceedings of the 8th ACM SIGSPATIAL international workshop on analytics for big geospatial data, pp 1–10
3. Breunig M, Kriegel HP, Ng R, et al (2000) Lof: identifying density-based local outliers. In: Proceedings of the 2000 ACM SIGMOD international conference on Management of data, ACM, pp 93–104
4. Brinkhoff T (2002) A framework for generating network-based moving objects. GeoInformatica 6
5. Cao K, Liu Y, Meng G et al (2020) Trajectory outlier detection on trajectory data streams. IEEE Access pp 1–1
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