Bayesian network models for hierarchical text classification from a thesaurus

Author:

de Campos Luis M.,Romero Alfonso E.

Funder

Ministerio de Educación Superior, Ciencia y Tecnología, República Dominicana

Consejería de Economía, Innovación, Ciencia y Empleo, Junta de Andalucía

Publisher

Elsevier BV

Subject

Applied Mathematics,Artificial Intelligence,Theoretical Computer Science,Software

Reference23 articles.

1. G. Adami, P. Avesani, D. Sona, Clustering documents in a web directory, in: Proceedings of Fifth ACM Int. Workshop on Web Information and Data Management, 2003, pp. 66–73.

2. Clustering documents into a web directory for bootstrapping a supervised classification;Adami;Data Knowledge Engineering,2006

3. C. Apte, F. Damerau, S.M. Weiss, Automated learning of decision rules for text categorization, ACM Transactions on Information Systems 12(3) (199) 233–251.

4. S. Chakrabarti, B. Dom, R. Agrawal, P. Raghavan, Using taxonomy, discriminants, and signatures for navigating in text databases, in: Proceedings of the 23rd International Conference on Very Large Data Bases, 1997, pp. 446–455.

5. The BNR model: foundations and performance of a Bayesian network-based retrieval model;de Campos;International Journal of Approximate Reasoning,2003

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