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Implementation: Real machine learning schemes. Decision treesFrom ID3 to C4.5 (pruning, numeric attributes, ...)Classification rulesFrom PRISM to RIPPER and PART (pruning, numeric data, )Association RulesFrequent-pattern treesExtending linear modelsSupport vector machines and neural networks
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