EnBay: A Novel Pattern-Based Bayesian Classifier

@article{Baralis2013EnBayAN,
  title={EnBay: A Novel Pattern-Based Bayesian Classifier},
  author={Elena Baralis and Luca Cagliero and Paolo Garza},
  journal={IEEE Transactions on Knowledge and Data Engineering},
  year={2013},
  volume={25},
  pages={2780-2795}
}
A promising approach to Bayesian classification is based on exploiting frequent patterns, i.e., patterns that frequently occur in the training data set, to estimate the Bayesian probability. Pattern-based Bayesian classification focuses on building and evaluating reliable probability approximations by exploiting a subset of frequent patterns tailored to a given test case. This paper proposes a novel and effective approach to estimate the Bayesian probability. Differently from previous… CONTINUE READING
Highly Cited
This paper has 21 citations. REVIEW CITATIONS
12 Citations
46 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 12 extracted citations

References

Publications referenced by this paper.

Similar Papers

Loading similar papers…