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Association and Classification Rule Mining, Linear Models, Decision Trees and Random Forests, Neural Network approaches, Support Vector Machines, Bayesian Learning, Instance-based Learning, Pre-processing and Feature Selection, Performance evaluation, Ensemble Learning and clustering