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Fouille de données médicales: Analyse et prédiction de données sur les maladies cardio-vasculaires

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User-Friendly Exploration of Highly Heterogeneous Data Lakes., , , , and . CoopIS, volume 14353 of Lecture Notes in Computer Science, page 488-496. Springer, (2023)Exploring Heterogeneous Data Graphs Through Their Entity Paths., , , and . ADBIS, volume 13985 of Lecture Notes in Computer Science, page 163-179. Springer, (2023)PathWays: Entity-Focused Exploration of Heterogeneous Data Graphs., , , and . ESWC (Satellite Events), volume 13998 of Lecture Notes in Computer Science, page 91-95. Springer, (2023)Predihood: an open-source tool for predicting neighbourhoods' information., , and . J. Open Source Softw., 6 (61): 2805 (2021)À la recherche du quartier idéal., , , , , and . EGC, volume E-35 of RNTI, page 429-432. Éditions RNTI, (2019)Fouille de données médicales: Analyse et prédiction de données sur les maladies cardio-vasculaires, , , and . (20xx)An Environmental Study of French Neighbourhoods., , , , and . DATA (Revised Selected Papers), volume 1446 of Communications in Computer and Information Science, page 267-292. Springer, (2020)Spatial Entity Matching with GeoAlign (demo paper)., , , and . SIGSPATIAL/GIS, page 580-583. ACM, (2019)Abstra: Toward Generic Abstractions for Data of Any Model., , and . CIKM, page 4803-4807. ACM, (2022)Predicting the Environment of a Neighborhood: A Use Case for France., , , and . DATA, page 294-301. SciTePress, (2020)