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Data-Driven Transit Network Design From Mobile Phone Trajectories.

, , , , , and . IEEE Trans. Intell. Transp. Syst., 17 (6): 1724-1733 (2016)

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A general methodology for building multiple aspect trajectories., , , and . SAC, page 515-517. ACM, (2023)MAT-Builder: a System to Build Semantically Enriched Trajectories., , , and . SEBD, volume 3194 of CEUR Workshop Proceedings, page 175-182. CEUR-WS.org, (2022)Uncertainty in urban mobility: Predicting waiting times for shared bicycles and parking lots., , , , and . ITSC, page 53-58. IEEE, (2013)Pattern-Preserving k-Anonymization of Sequences and its Application to Mobil- ity Data Mining., , , and . PiLBA, volume 397 of CEUR Workshop Proceedings, CEUR-WS.org, (2008)Cityride: A Predictive Bike Sharing Journey Advisor., , and . MDM, page 306-311. IEEE Computer Society, (2012)Location prediction within the mobility data analysis environment DAEDALUS., , , and . MobiQuitous, ICST / ACM, (2008)Temporal analysis of process logs: a case study., , , and . SEBD, page 430-437. (2008)Editorial: Human-Interpretable Machine Learning., , and . Frontiers Big Data, (2022)Location Prediction through Trajectory Pattern Mining (Extended Abstract)., , , and . SEBD, page 134-141. Esculapio Editore, (2010)MUSTACHE: Multi-Step-Ahead Predictions for Cache Eviction., , and . CoRR, (2022)