Pruning based interestingness of mined classification patterns

@article{AlHegami2009PruningBI,
  title={Pruning based interestingness of mined classification patterns},
  author={Ahmed Sultan Al-Hegami},
  journal={Int. Arab J. Inf. Technol.},
  year={2009},
  volume={6},
  pages={336-343}
}
Classification is an important problem in data mining. Decision tree induction is one of the most common techniques that are applied to solve the classification problem. Many decision tree induction algorithms have been proposed based on different attribute selection and pruning strategies. Although the patterns induced by decision trees are easy to interpret and comprehend compare to the patterns induced by other classification algorithms, the constructed decision trees may contain hundreds or… CONTINUE READING

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