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Complexity of Rule Sets Mined from Incomplete Data Using Probabilistic Approximations Based on Characteristic Sets.

, , , and . KES, volume 225 of Procedia Computer Science, page 442-451. Elsevier, (2023)

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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)An Experimental Comparison of Three Probabilistic Approximations Used for Rule Induction., and . Fundam. Informaticae, 127 (1-4): 177-191 (2013)Local Approximations., and . IDEAL, volume 5788 of Lecture Notes in Computer Science, page 9-16. Springer, (2009)A Comparison of Three Voting Methods for Bagging with the MLEM2 Algorithm., , and . IDEAL, volume 6283 of Lecture Notes in Computer Science, page 118-125. Springer, (2010)A Search for the Best Data Mining Method to Predict Melanoma., and . Rough Sets and Current Trends in Computing, volume 2475 of Lecture Notes in Computer Science, page 538-545. Springer, (2002)Local and Global Approximations for Incomplete Data., and . RSCTC, volume 4259 of Lecture Notes in Computer Science, page 244-253. Springer, (2006)Optimization of the ABCD Formula for Melanoma Diagnosis Using C4.5, a Data Mining System., , , , and . Rough Sets and Current Trends in Computing, volume 3066 of Lecture Notes in Computer Science, page 630-636. Springer, (2004)A Machine Learning Experiment to Determine Part of Speech from Word-Endings., and . ISMIS, volume 1325 of Lecture Notes in Computer Science, page 497-506. Springer, (1997)An overview of the LERS1 learning system.. IEA/AIE (2), page 838-844. ACM, (1989)Consistency of incomplete data., , and . Inf. Sci., (2015)