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An Association Rules Based Approach to Predict Semantic Land Use Evolution in the French City of Saint-Denis., , , and . IJDWM, 10 (2): 1-17 (2014)Un système collectif d'utilisation d'un grand ensemble de classifieurs sur le Cloud pour la classification de Big Data., , and . Fouille de Données Complexes, volume E-31 of RNTI, Éditions RNTI, (2016)Apprentissage supervisé et raisonnement approximatif, l'hypothèse des imperfections., and . Rev. d'Intelligence Artif., 15 (1): 55-85 (2001)Through a Fuzzy Spatiotemporal Information System for Handling Excavation Data., , , and . AGILE Conf., page 179-196. Springer, (2012)Management of Multiple and Imperfect Sources in the Context of a Territorial Community Environmental System., , and . ICCSA (1), volume 7971 of Lecture Notes in Computer Science, page 204-215. Springer, (2013)Approximate Reasoning in Supervised Classification Systems., , , and . J. Adv. Comput. Intell. Intell. Informatics, 10 (4): 586-593 (2006)A New Methodology for Storing Consistent Fuzzy Geospatial Data in Big Data Environment., , , and . IEEE Trans. Big Data, 7 (2): 468-482 (2021)An adaptive technique for pattern recognition by the random neural network., and . ESANN, (1996)Towards Association Rules as a Predictive Tool for Geospatial Areas Evolution., , , and . GISTAM, page 201-206. SciTePress, (2016)An Association Rules Based Approach to Predict Semantic Land Use Evolution in the French City of Saint-Denis., , , and . IJDWM, 10 (2): 1-17 (2014)