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A Comparison of Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data.

, , , and . IPMU (2), volume 854 of Communications in Computer and Information Science, page 480-489. Springer, (2018)

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Global and saturated probabilistic approximations based on generalized maximal consistent blocks., , , , and . Log. J. IGPL, 31 (2): 223-239 (March 2023)Rule Set Complexity in Mining Incomplete Data Using Global and Saturated Probabilistic Approximations., , , and . ICIST, volume 1078 of Communications in Computer and Information Science, page 451-462. Springer, (2019)Rules from Belief Networks: A Rough Set Approach., , and . Rough Sets and Current Trends in Computing, volume 3066 of Lecture Notes in Computer Science, page 483-487. Springer, (2004)Experiments with Hybridization and Optimization of the Rules Knowledge Base for Classification of MMPI Profiles., , , , and . ICDM, volume 6870 of Lecture Notes in Computer Science, page 121-133. Springer, (2011)Reduced Data Sets and Entropy-Based Discretization., , and . Entropy, 21 (11): 1051 (2019)A Comparison of Four Approaches to Discretization Based on Entropy., and . Entropy, 18 (3): 69 (2016)Complexity of Rule Sets Induced by Characteristic Sets and Generalized Maximal Consistent Blocks., , , , and . ICAISC (2), volume 10842 of Lecture Notes in Computer Science, page 301-310. Springer, (2018)Complexity of Rule Sets Induced from Data with Many Lost Values and "Do Not Care" Conditions., , , , and . ISDA, volume 1181 of Advances in Intelligent Systems and Computing, page 376-385. Springer, (2019)Mining Data with Many Missing Attribute Values Using Global and Saturated Probabilistic Approximations Based on Characteristic Sets., , , and . ICIST, volume 1283 of Communications in Computer and Information Science, page 72-83. Springer, (2020)Characteristic Sets and Generalized Maximal Consistent Blocks in Mining Incomplete Data., , , and . IJCRS (1), volume 10313 of Lecture Notes in Computer Science, page 477-486. Springer, (2017)