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HaniMob 2022 Workshop Report: The 2nd ACM SIGSPATIAL Workshop on Animal Movement Ecology and Human Mobility.

, , , , , , , and . ACM SIGSPATIAL Special, 14 (1): 32-36 (November 2022)

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Location relevance and diversity in symbolic trajectories with application to telco data., , , and . SSTD, page 41-50. ACM, (2019)On Location Relevance and Diversity in Human Mobility Data., , , , and . ACM Trans. Spatial Algorithms Syst., 7 (2): 7:1-7:38 (2021)HaniMob 2022 Workshop Report: The 2nd ACM SIGSPATIAL Workshop on Animal Movement Ecology and Human Mobility., , , , , , , and . ACM SIGSPATIAL Special, 14 (1): 32-36 (November 2022)On the Bulk Ingestion of IoT Devices from Heterogeneous IoT Brokers., , , , and . ICIOT, page 189-195. IEEE, (2019)Cluster-based trajectory segmentation with local noise., , , , , and . Data Min. Knowl. Discov., 32 (4): 1017-1055 (2018)Segmentation techniques for the summarization of individual mobility data., and . WIREs Data Mining Knowl. Discov., (2017)Stop@: A framework for scalable and noise-resistant stop-move segmentation of large datasets of trajectories in outdoor and indoor spaces., and . SoftwareX, (2024)Fine-grained Stop-Move Detection in UWB-based Trajectories., , , and . PerCom, page 111-118. IEEE, (2022)Discovering Gatherings Based on Individual Mobility Patterns: Challenges and Direction., , and . ICDM Workshops, page 266-273. IEEE Computer Society, (2017)MigrO: a plug-in for the analysis of individual mobility behavior based on the stay region model., , , , , and . SIGSPATIAL/GIS, page 96:1-96:4. ACM, (2015)