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Methods to Edit Multi-label Training Sets Using Rough Sets Theory.

, , , и . IJCRS, том 11499 из Lecture Notes in Computer Science, стр. 369-380. Springer, (2019)

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Oladele Bello

Luciano Bello

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SMOTE-RSB *: a hybrid preprocessing approach based on oversampling and undersampling for high imbalanced data-sets using SMOTE and rough sets theory., , , и . Knowl. Inf. Syst., 33 (2): 245-265 (2012)Reduction Methods for Multi-Label Datasets Based on Granular Computing., , , и . BNAIC/BENELEARN, том 2491 из CEUR Workshop Proceedings, CEUR-WS.org, (2019)Improving the k-NN method: Rough Set in edit training set., , , , и . IFIP PPAI, том 4170 из Lecture Notes in Computer Science, стр. 21-30. Springer, (2006)A method to build similarity relations into extended Rough Set Theory., , , и . ISDA, стр. 1314-1319. IEEE, (2010)Rough Set Theory Measures to Knowledge Generation., , , и . ISDA, стр. 401-406. IEEE Computer Society, (2007)Two new feature selection algorithms with Rough Sets Theory., , , и . IFIP AI, том 217 из IFIP, стр. 209-216. Springer, (2006)Feature Selection through Dynamic Mesh Optimization., , , и . CIARP, том 5197 из Lecture Notes in Computer Science, стр. 348-355. Springer, (2008)Two Step Ant Colony System to Solve the Feature Selection Problem., , , , и . CIARP, том 4225 из Lecture Notes in Computer Science, стр. 588-596. Springer, (2006)Learning Method Inspired on Swarm Intelligence for Fuzzy Cognitive Maps: Travel Behaviour Modelling., , , , , и . ICANN (1), том 7552 из Lecture Notes in Computer Science, стр. 718-725. Springer, (2012)Fuzzy Cognitive Maps Reasoning with Words Based on Triangular Fuzzy Numbers., , , , , и . MICAI (1), том 10632 из Lecture Notes in Computer Science, стр. 197-207. Springer, (2017)