Direct mining of discriminative patterns for classifying uncertain data

@inproceedings{Gao2010DirectMO,
  title={Direct mining of discriminative patterns for classifying uncertain data},
  author={Chuancong Gao and Jianyong Wang},
  booktitle={KDD},
  year={2010}
}
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input categorical data satisfying a user-specified minimum support and/or other discrimination measures like minimum confidence or information-gain. Those patterns are used later either as rules for rule-based classifier or training features for support vector machine (SVM) classifier, after a feature selection procedure which… CONTINUE READING
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