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Three Approaches to Missing Attribute Values: A Rough Set Perspective.. Data Mining: Foundations and Practice, том 118 из Studies in Computational Intelligence, Springer, (2008)MLEM2 Rule Induction Algorithms: With and Without Merging Intervals.. Data Mining: Foundations and Practice, том 118 из Studies in Computational Intelligence, Springer, (2008)Mining data with numerical attributes and missing attribute values - A rough set approach., и . GrC, стр. 214-219. IEEE Computer Society, (2011)Diagnosis of Melanoma Based on Data Mining and ABCD Formulars., , , и . HIS, том 105 из Frontiers in Artificial Intelligence and Applications, стр. 614-622. IOS Press, (2003)Consistency of Incomplete Data., и . DATA, стр. 80-87. SciTePress, (2013)Local Probabilistic Approximations for Incomplete Data., , и . ISMIS, том 7661 из Lecture Notes in Computer Science, стр. 93-98. Springer, (2012)Inducing Better Rule Sets by Adding Missing Attribute Values., и . RSCTC, том 5306 из Lecture Notes in Computer Science, стр. 160-169. Springer, (2008)A Comparison of Several Approaches to Missing Attribute Values in Data Mining., и . Rough Sets and Current Trends in Computing, том 2005 из Lecture Notes in Computer Science, стр. 378-385. Springer, (2000)A Comparison of Four Tests for Attribute Dependency in the LEM and LERS Systems for Learning from Examples., и . IEA/AIE (Vol. 2), стр. 949-958. ACM, (1990)Problems of the Change of Operating Time of Finite Automata.. GI Jahrestagung, том 34 из Lecture Notes in Computer Science, стр. 261-268. Springer, (1975)