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A Conceptual Approach for Supporting Traffic Data Wrangling Tasks., , , и . Comput. J., 62 (3): 461-480 (2019)Analysis of stock market manipulations using knowledge discovery techniques applied to intraday trade prices., , и . Expert Syst. Appl., 38 (10): 12757-12771 (2011)Mining Data Wrangling Workflows for Patterns, Reuse and Optimisation Opportunities., , и . EDBT/ICDT Workshops, том 3379 из CEUR Workshop Proceedings, CEUR-WS.org, (2023)An ontology-guided approach to process formation and coordination of demand-driven collaborations., , , , , и . Int. J. Prod. Res., 62 (9): 3398-3414 (2024)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)Privacy-Aware Business Processes Modeling Notation (PrvBPMN) in the Context of Distributed Mobile Applications., , и . MobiWIS (Workshops), том 183 из Communications in Computer and Information Science, стр. 120-134. Springer, (2013)A deep-learning model for urban traffic flow prediction with traffic events mined from twitter., , , и . World Wide Web, 24 (4): 1345-1368 (2021)An approach and decision support tool for forming Industry 4.0 supply chain collaborations., , , , , и . Comput. Ind., (2021)