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An Integration-Oriented Ontology to Govern Evolution in Big Data Ecosystems.

, , , , и . CoRR, (2018)

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Maurin Nadal

George Sergiadis

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Scobioala Sergiu

René Sergio

 

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Effective and Scalable Data Discovery with NextiaJD., , и . EDBT, стр. 690-693. OpenProceedings.org, (2021)Quarry: Digging Up the Gems of Your Data Treasury., , , , , и . EDBT, стр. 549-552. OpenProceedings.org, (2015)Generating valid test data through data cloning., , , и . Future Gener. Comput. Syst., (июля 2023)FAME: Supporting Continuous Requirements Elicitation by Combining User Feedback and Monitoring., , , , , , , , , и . RE, стр. 217-227. IEEE Computer Society, (2018)An Integration-Oriented Ontology to Govern Evolution in Big Data Ecosystems., , , , и . CoRR, (2018)Metadata-driven data integration.. Polytechnic University of Catalonia, Spain, (2019)An Integration-Oriented Ontology to Govern Evolution in Big Data Ecosystems., , , , и . EDBT/ICDT Workshops, том 1810 из CEUR Workshop Proceedings, CEUR-WS.org, (2017)Towards Scalable Data Discovery., , и . EDBT, стр. 433-438. OpenProceedings.org, (2021)A Situational Approach for the Definition and Tailoring of a Data-Driven Software Evolution Method., , , , , , , , , и 1 other автор(ы). CAiSE, том 10816 из Lecture Notes in Computer Science, стр. 603-618. Springer, (2018)HYPPO: Using Equivalences to Optimize Pipelines in Exploratory Machine Learning., , , , и . ICDE, стр. 221-234. IEEE, (2024)