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Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data.

, , , , and . SIGSPATIAL/GIS, page 34:1-34:10. ACM, (2017)

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Predicting Traffic Congestion Propagation Patterns: A Propagation Graph Approach., , , , and . IWCTS@SIGSPATIAL, page 60-69. ACM, (2018)Forecasting Gathering Events through Continuous Destination Prediction on Big Trajectory Data., , , , and . SIGSPATIAL/GIS, page 34:1-34:10. ACM, (2017)HintNet: Hierarchical Knowledge Transfer Networks for Traffic Accident Forecasting on Heterogeneous Spatio-Temporal Data., , , , and . SDM, page 334-342. SIAM, (2022)Precise Bayes Classifier: Summary of Results., and . ICDM, page 649-658. IEEE, (2021)Predicting Urban Dispersal Events: A Two-Stage Framework through Deep Survival Analysis on Mobility Data., , , , and . AAAI, page 5199-5206. AAAI Press, (2019)Forecasting Gathering Events through Trajectory Destination Prediction: A Dynamic Hybrid Model., , , , and . IEEE Trans. Knowl. Data Eng., 33 (3): 991-1004 (2021)A Traffic Flow Approach to Early Detection of Gathering Events: Comprehensive Results., , , , , and . ACM Trans. Intell. Syst. Technol., 8 (6): 74:1-74:24 (2017)DILSA+: Predicting Urban Dispersal Events through Deep Survival Analysis with Enhanced Urban Features., , , , and . ACM Trans. Intell. Syst. Technol., 12 (4): 49:1-49:25 (2021)A new model for discovering process trees from event logs., and . Appl. Intell., 41 (3): 725-735 (2014)A traffic flow approach to early detection of gathering events., , , , and . SIGSPATIAL/GIS, page 4:1-4:10. ACM, (2016)