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Mining Data Wrangling Workflows for Patterns, Reuse and Optimisation Opportunities.

, , и . EDBT/ICDT Workshops, том 3379 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)

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Leonardo Sampaio

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Challenges in Resource Provisioning for the Execution of Data Wrangling Workflows on the Cloud: A Case Study., , , и . DEXA (2), том 12392 из Lecture Notes in Computer Science, стр. 66-75. Springer, (2020)Mining Data Wrangling Workflows for Patterns, Reuse and Optimisation Opportunities., , и . EDBT/ICDT Workshops, том 3379 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)Parallel Continuous Outlier Mining in Streaming Data., , , , и . DSAA, стр. 227-236. IEEE, (2018)On the Feasibility of Crawling Linked Data Sets for Reusable Defect Corrections., , , и . LDQ@SEMANTiCS, том 1215 из CEUR Workshop Proceedings, CEUR-WS.org, (2014)MEDAVET: Traffic Vehicle Anomaly Detection Mechanism based on spatial and temporal structures in vehicle traffic., , , , , , и . CoRR, (2023)Experimenting with big data computing for scaling data quality-aware query processing., , , , и . Expert Syst. Appl., (2021)Improving Urban Traffic Speed Prediction Using Data Source Fusion and Deep Learning., , , и . BigComp, стр. 1-8. IEEE, (2019)A Conceptual Approach to Traffic Data Wrangling., , , и . BICOD, том 10365 из Lecture Notes in Computer Science, стр. 9-22. Springer, (2017)A Shapley Value-based Strategy for Resource Allocation in Vehicular Clouds., , , , , и . GLOBECOM, стр. 5801-5806. IEEE, (2022)The Impact of Rainfall and Temperature on Peak and Off-Peak Urban Traffic., , , и . DEXA (2), том 11030 из Lecture Notes in Computer Science, стр. 399-407. Springer, (2018)