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A Unified Framework with Multi-source Data for Predicting Passenger Demands of Ride Services.

, , , , , , and . ACM Trans. Knowl. Discov. Data, 13 (6): 56:1-56:24 (2019)

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Dual Error Bounded Trajectory Simplification., , and . DCC, page 448. IEEE, (2017)A Unified Framework with Multi-source Data for Predicting Passenger Demands of Ride Services., , , , , , and . ACM Trans. Knowl. Discov. Data, 13 (6): 56:1-56:24 (2019)Experiments and Analyses of Anonymization Mechanisms for Trajectory Data Publishing., , , , , and . J. Comput. Sci. Technol., 37 (5): 1026-1048 (2022)Modeling the Performance of MapReduce under Resource Contentions and Task Failures., , , , and . CloudCom (1), page 158-163. IEEE Computer Society, (2013)Predator - An experience guided configuration optimizer for Hadoop MapReduce., , and . CloudCom, page 419-426. IEEE Computer Society, (2012)One-pass trajectory simplification using the synchronous Euclidean distance., , , , and . VLDB J., 28 (6): 897-921 (2019)TDAG: A Tunable Distributed Data Processing Model for Data Stream., , , and . ISPA/IUCC, page 433-437. IEEE, (2017)An Efficient Approach to Finding Dense Temporal Subgraphs., , , , and . IEEE Trans. Knowl. Data Eng., 32 (4): 645-658 (2020)Error Bounded Line Simplification Algorithms for Trajectory Compression: An Experimental Evaluation., , , , and . ACM Trans. Database Syst., 46 (3): 11:1-11:44 (2021)Improving the Shuffle of Hadoop MapReduce., , , and . CloudCom (1), page 266-273. IEEE Computer Society, (2013)