Improving the performance of Naive Bayes multinomial in e-mail foldering by introducing distribution-based balance of datasets

Author:

Bermejo Pablo,Gámez Jose A.,Puerta Jose M.

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference47 articles.

1. Abe, N. (2004). An iterative method for multi-class cost-sensitive learning. In Proceedings of the tenth ACM SIGKDD international conference on knowledge discovery and data mining (pp. 3–11).

2. Bekkerman, R., McCallum, A., & Huang, G. (2005). Automatic categorization of email into folders: Bechmark experiments on enron and sri corpora. Technical report, Department of Computer Science, University of Massachusetts, Amherst.

3. Bekkerman, R., Eguchi, K., & Allan, J. (2006). Unsupervised non-topical classification of documents. Technical report, Center of Intelligent Information Retrieval, Massachusetts Univ.

4. A training algorithm for optimal margin classifiers;Boser,1992

5. Chang, C., & Lin, C. (2001). LIBSVM: A library for support vector machines. Software available at .

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