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Improving Urban Traffic Speed Prediction Using Data Source Fusion and Deep Learning.

, , , and . BigComp, page 1-8. IEEE, (2019)

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A Conceptual Approach for Supporting Traffic Data Wrangling Tasks., , , and . Comput. J., 62 (3): 461-480 (2019)Challenges in Resource Provisioning for the Execution of Data Wrangling Workflows on the Cloud: A Case Study., , , and . DEXA (2), volume 12392 of Lecture Notes in Computer Science, page 66-75. Springer, (2020)Mining Data Wrangling Workflows for Patterns, Reuse and Optimisation Opportunities., , and . EDBT/ICDT Workshops, volume 3379 of CEUR Workshop Proceedings, CEUR-WS.org, (2023)A deep-learning model for urban traffic flow prediction with traffic events mined from twitter., , , and . World Wide Web, 24 (4): 1345-1368 (2021)Parallel Continuous Outlier Mining in Streaming Data., , , , and . DSAA, page 227-236. IEEE, (2018)On the Feasibility of Crawling Linked Data Sets for Reusable Defect Corrections., , , and . LDQ@SEMANTiCS, volume 1215 of CEUR Workshop Proceedings, CEUR-WS.org, (2014)Experimenting with big data computing for scaling data quality-aware query processing., , , , and . Expert Syst. Appl., (2021)Continuous Outlier Mining of Streaming Data in Flink., , , , and . CoRR, (2019)MEDAVET: Traffic Vehicle Anomaly Detection Mechanism based on spatial and temporal structures in vehicle traffic., , , , , , and . CoRR, (2023)Improving Urban Traffic Speed Prediction Using Data Source Fusion and Deep Learning., , , and . BigComp, page 1-8. IEEE, (2019)