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Knowledge Reuse in Data Mining Projects and Its Practical Applications.

, , and . ICEIS, volume 24 of Lecture Notes in Business Information Processing, page 317-324. Springer, (2009)

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An Approach for Learning from Small and Unbalanced Data Sets Using Gaussian Noise During Artificial Neural Network Training., and . DMIN, page 23-30. CSREA Press, (2010)Where to aim? Factors that influence the performance of Brazilian secondary schools., and . EDM, International Educational Data Mining Society, (2020)pRAM n-tuple Classifier - a new architecture of probabilistic RAM neurons for classification problems., and . IJCNN, page 1-7. IEEE, (2010)Evaluation of the use of computational intelligence techniques in medical claim processes of a health insurance company., , , , , and . CBMS, page 23-28. IEEE Computer Society, (2013)On the equivalence between Kolmogorov-Smirnov and ROC curve metrics for binary classification., and . CoRR, (2016)Sequential RAM-based Neural Networks: Learnability, Generalisation, Knowledge Extraction, and Grammatical Inference., , and . Int. J. Neural Syst., 9 (3): 203-210 (1999)Autoassociative Memory with high Storage Capacity., and . ICANN, volume 1112 of Lecture Notes in Computer Science, page 29-34. Springer, (1996)A Temporal Difference GNG-Based Algorithm That Can Learn to Control in Reinforcement Learning Environments., , and . ICMLA (1), page 329-332. IEEE, (2013)The role of temporal feature extraction and bagging of MLP neural networks for solving the WCCI 2008 Ford Classification Challenge., , , , , and . IJCNN, page 57-62. IEEE Computer Society, (2009)Data Mining Solution for Assessing the Secondary School Students of Brazilian Federal Institutes., and . BRACIS, page 574-579. IEEE, (2019)