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Parallel Learning and Classification for Rules based on Formal Concepts.

, , and . KES, volume 35 of Procedia Computer Science, page 358-367. Elsevier, (2014)

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Générer des règles de classification par dopage de concepts formels., and . EGC, volume RNTI-E-15 of Revue des Nouvelles Technologies de l'Information, page 181-186. Cépaduès-Éditions, (2009)Une nouvelle approche du Boosting face aux données réelles., and . EGC, volume RNTI-E-11 of Revue des Nouvelles Technologies de l'Information, page 349-360. Cépaduès-Éditions, (2008)Improving Boosting by Exploiting Former Assumptions., , and . MCD, volume 4944 of Lecture Notes in Computer Science, page 131-142. (2007)DFC: A Performant Dagging Approach of Classification Based on Formal Concept., , and . Int. J. Artif. Intell. Mach. Learn., 11 (2): 38-62 (2021)Survey on Formal Concept Analysis Based Supervised Classification Techniques., , and . MLIS, volume 332 of Frontiers in Artificial Intelligence and Applications, page 21-29. IOS Press, (2020)Towards a machine learning approach based on incremental concept formation.. Intell. Data Anal., 8 (3): 267-280 (2004)Protein sequences classification by means of feature extraction with substitution matrices., , and . BMC bioinformatics, 11 (1): 175+ (Apr 8, 2010)Adaptive Learning of Nominal Concepts for Supervised Classification., and . KES (1), volume 6276 of Lecture Notes in Computer Science, page 121-130. Springer, (2010)Boosting Formal Concepts to Discover Classification Rules., and . IEA/AIE, volume 5579 of Lecture Notes in Computer Science, page 501-510. Springer, (2009)Vers un critère d'arrêt de Boosting basé sur la diversité des classifieurs., , and . INFORSID, page 111-126. (2011)