Information Technology Reference
In-Depth Information
Nigam, K., McCallum, A. K., Thrun, S., and Mitchell, T. M. (1998). Learning to classify text from labeled
and unlabeled documents. In Proceedings of AAAI-98, 15 th Conference of the American Association for
Artificial Intelligence (pp.792-799). Madison: AAAI Press.
Porter, M. (1980). An algorithm for suffix stripping. Program , 14 (3),130-137.
Schmid, H. (1994). Probabilistic part-of-speech tagging using decision trees. In International Confer-
ence on New Methods in Language Processing , Manchester, UK.
Weiss, S. & Kulikowski, C. A. (1991). Computer systems that learn: classification and prediction
methods from statistics, neural nets, machine learning, and expert systems .San Francisco: Morgan
Kaufmann Publishers Inc.
Werner, L., Böttcher, S., & Beckmann, R. (2005). Enhanced information retrieval by using HTML
tags. In H. R. Arabnia & A. Scime (Eds.), Proceedings of the 2005 International Conference on Data
Mining , (pp. 24-29). CSREA Press.
Yang, Y. & Pedersen, J. O. (1997). A comparative study on feature selection in text categorization.
In D. H. Fisher (Ed), Proceedings of ICML-97, 14th International Conference on Machine Learning ,
Nashville (pp. 412-420). San Francisco: Morgan Kaufmann Publishers.
endnotes
1
http://www.vkc.info
2
http://www.cs.cmu.edu/afs/cs.cmu.edu/project
/theo-11/www/wwkb/index.html
3
http://www.acm.org/
4
http://www.daviddlewis.com/resources
/testcollections/reuters21578/
5
http://java.sun.com/
6
http://www.acm.org/class/1998/
This work was previously published in International Journal of Intelligent Information Technologies, Vol. 3, Issue 2, edited
by V. Sugumaran, pp. 1-16, copyright 2007 by IGI Publishing, formerly known as Idea Group Publishing (an imprint of IGI
Global).
Search WWH ::




Custom Search