Multiple decision tree induction using multi-objective particle swarm optimization
Decision tree induction is the process of learning useful knowledge hidden in data that is used in predicting outcomes of future (unknown) instances. The objectives in inducing decision trees are to generate trees that provide accurate predictions of future instances and that are simple enough for h...
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| Format: | Thèse |
| Langue: | English |
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2006.
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