1. Apté, C., Damerau, F., & Weiss, S. M. (1994). Automated learning of decision rules for text categorization. Information Systems, 12(3), 233–251.
2. Bennett, P. (2000). Assessing the calibration of Naive Bayes’ posterior estimates. CMU-CS-00-155. Technical report, School of Computer Science, Carnegie-Mellon University.
3. Blockeel, H., Bruynooghe, M., Dzeroski, S., Ramon, J., & Struyf, J. (2002). Hierarchical multi-classification. In S. Džeroski, L. de Raedt & S. Wrobel (Eds.), Multi-Relational Data Mining 2002 (pp. 21–35). Edmonton, Canada: University of Alberta.
4. Ceci, M., & Malerba, D. (2003). Hierarchical classification of HTML documents with WebClassII. In F. Sebastian (Ed.), Proceedings of ECIR-03, 25th European Conference on Information Retrieval (pp. 57–72). Berlin Heidelberg New York: Springer.
5. Chuang, W. T., Tiyyagura, A., Yang, J., & Giuffrida, G. (2000). A fast algorithm for hierarchical text classification. In DaWaK 2000: Proceedings of the Second International Conference on Data Warehousing and Knowledge Discovery (pp. 409–418). Berlin Heidelberg New York: Springer.