Using Significant, Positively Associated and Relatively Class Correlated Rules for Associative Classification of Imbalanced Datasets

@article{Verhein2007UsingSP,
  title={Using Significant, Positively Associated and Relatively Class Correlated Rules for Associative Classification of Imbalanced Datasets},
  author={Florian Verhein and Sanjay Chawla},
  journal={Seventh IEEE International Conference on Data Mining (ICDM 2007)},
  year={2007},
  pages={679-684}
}
The application of association rule mining to classification has led to a new family of classifiers which are often referred to as "associative classifiers (ACs)". An advantage of ACs is that they are rule-based and thus lend themselves to an easier interpretation. Rule-based classifiers can play a very important role in applications such as medical… CONTINUE READING