The research carried out within the "Data Management" department revolves around the problems of modeling, access, analysis and synthesis of factual and textual data, raw or pre-processed.
For more information, consult the Data Management department presentation on the IRIT website.
Latest full text publications
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Josiane Mothe, Valentina Ciaccio, Fabio Del Frate, Davide De Santis, Mihai Ivanovici, et al.. Education and research projects for preparing young researchers for future career in Earth Observation. International Geoscience and Remote Sensing Symposium (IGARSS 2023), IEEE: Institute of Electrical and Electronics Engineers; GRSS: Geoscience and Remote Sensing Society, Jul 2023, Pasadena, CA, United States. à paraître. ⟨hal-04085119⟩
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Ginel Dorleon, Imen Megdiche, Nathalie Bricon-Souf, Olivier Teste. FAPFID: A Fairness-Aware Approach for Protected Features and Imbalanced Data. Transactions on Large-Scale Data- and Knowledge-Centered Systems, 2023, Lecture Notes in Computer Science book series (LNCS), 13840 (TLDKS), pp.107-125. ⟨10.1007/978-3-662-66863-4_5⟩. ⟨hal-03995398⟩
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Tristan Salord, Marie-Benoît Magrini, Guillaume Cabanac, Cecile Barron, Valérie Lullien-Pellerin, et al.. Les légumineuses dans les produits agroalimentaires : une analyse des lancements produits dans le monde, en Europe et en France sur la décennie 2010-2021. 2023, 6p. ⟨10.17180/xtcv-5b27⟩. ⟨hal-04074159⟩
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Damien T Wojtowicz, Shaoyi Yin, Jorge Martinez-Gil, Franck Morvan, Abdelkader Hameurlain. Multi-Cloud Query Optimisation with Accurate and Efficient Quoting. IEEE International Conference on BigData (BigData 2022), Dec 2022, Osaka, Japan. pp.228-233, ⟨10.1109/BigData55660.2022.10020835⟩. ⟨hal-03841516⟩
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