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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)

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A Comparison of Six Discretization Algorithms Used for Prediction of Melanoma., , and . Intelligent Information Systems, page 3-12. Physica-Verlag, (2002)Synthesis of selected features of melanocytic skin lesion images., and . IVCNZ, page 238-243. ACM, (2012)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)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 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)Global and saturated probabilistic approximations based on generalized maximal consistent blocks., , , , and . Log. J. IGPL, 31 (2): 223-239 (March 2023)Melanoma Prediction Using k-Nearest Neighbor and LEM2 Algorithms., and . Intelligent Information Systems, page 43-55. Physica-Verlag, (2001)Deriving Belief Networks and Belief Rules from Data: A Progress Report., , and . Trans. Rough Sets, (2007)From the Research on Planning of Chemical Syntheses: Computer-Aided Modeling and Prediction of PGI2 Metabolic Reactions.. ITIB (2), volume 472 of Advances in Intelligent Systems and Computing, page 363-374. Springer, (2016)Multistrategic Classification System of Melanocytic Skin Lesions: Architecture and First Results., , and . Computer Recognition Systems 3, volume 57 of Advances in Intelligent and Soft Computing, Springer, (2009)