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A Novel Approach for Company Real Workplace Identification via E-commercial Data., , , , , , , , и . SIGSPATIAL/GIS, стр. 46:1-46:4. ACM, (2023)Federated Forest., , , , , , и . IEEE Trans. Big Data, 8 (3): 843-854 (2022)A Novel Crowd Sensing Framework for Urban Computing Applications.. University at Buffalo, New York, USA, (2018)base-search.net (ftunivbuffalo:oai:ubir.buffalo.edu:10477/78036).The 12th International Workshop on Urban Computing., , , , , , и . KDD, стр. 5874-5875. ACM, (2023)Truth Discovery on Crowd Sensing of Correlated Entities., , , , , , и . SenSys, стр. 169-182. ACM, (2015)The 13th International Workshop on Urban Computing., , , , , , , и . KDD, стр. 6727-6728. ACM, (2024)Housing rental suggestion based on e-commerce data., , , , , , , и . Knowl. Based Syst., (2023)MTrajRec: Map-Constrained Trajectory Recovery via Seq2Seq Multi-task Learning., , , , , , и . KDD, стр. 1410-1419. ACM, (2021)Towards the Inference of Travel Purpose with Heterogeneous Urban Data., , , , и . IEEE Trans. Big Data, 8 (1): 166-177 (2022)Tackling the Redundancy and Sparsity in Crowd Sensing Applications., , , и . SenSys, стр. 150-163. ACM, (2016)