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Rule Set Complexity for Incomplete Data Sets with Many Attribute-Concept Values and "Do Not Care" Conditions.

, , and . IJCRS, volume 9920 of Lecture Notes in Computer Science, page 65-74. (2016)

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Complexity of Rule Sets Induced from Incomplete Data with Attribute-concept Values and "Do Not Care" Conditions., and . DATA, page 56-63. SciTePress, (2014)On partitions of the state set and relations in the input semigroup of automata (Russian).. Elektronische Informationsverarbeitung und Kybernetik, 11 (10-12): 581-582 (1975)Complexity of Rule Sets Induced from Incomplete Data Sets Using Global Probabilistic Approximations., and . IPMU (1), volume 442 of Communications in Computer and Information Science, page 386-395. Springer, (2014)MLEM2 - Discretization During Rule Induction.. IIS, page 499-508. Springer, (2003)A Comparison of Six Discretization Algorithms Used for Prediction of Melanoma., , and . Intelligent Information Systems, page 3-12. Physica-Verlag, (2002)A Comparison of Rule Induction Using Feature Selection and the LEM2 Algorithm.. Feature Selection for Data and Pattern Recognition, volume 584 of Studies in Computational Intelligence, Springer, (2015)Definability of Approximations for a Generalization of the Indiscernibility Relation., and . FOCI, page 65-72. IEEE, (2007)Rule Induction from Rough Approximations.. Handbook of Computational Intelligence, Springer, (2015)Consistency of incomplete data., , and . Inf. Sci., (2015)An Experimental Comparison of Three Probabilistic Approximations Used for Rule Induction., and . Fundam. Informaticae, 127 (1-4): 177-191 (2013)