References
1. Bollacker, K.; Lawrence, S.; and Giles, C.L. A system for automatic personalized
tracking of scientific literature on the web, Proceedings of the ACM JCDL, 1999.
2. Clearforest Dow chemicals case study. http://www.clearforest.com/Customers/Dow.asp, (2004),
3. Creese, G. Duo-Mining: combining data and text mining, DM Review, No. September,
(2004), http://www.dmreview.com/article_sub.cfm?articleId=1010449.
4. Gordon, M.D.; Lindsay, R.; and Fan, W. Literature-based discovery on the WWW.
ACM Transactions on Internet Technology (TOIT), 2, 4, (2002), 262-275.
5. Han, J.; Altman, R.B.; Kumar, V.; Mannila, H.; and Pregibon, D. Emerging Scientific
Applications in Data Mining. CACM, 45, 8, (2002), 54-58.
6. Hearst, M. What is text mining. http://www.sims.berkeley.edu/~hearst/textmining.
html, (2004),
7. Informatik http://www-i5.informatik.rwth-aachen.de/lehrstuhl/projects/DocMINER/DocMINER.html, 2004,
8. Radev, D.R.; Libner, K.; and Fan, W. Getting answers to natural language queries on
the Web. Journal of the American Society for Information Science and Technology
(JASIST), 53, 5, (2002), 359-364.
9. Swanson, D.R. Two medical literatures that are logically but not bibliographically
connected. JASIS, 38, 4, (1987), 228-233.
10. Yang, Y., and Pedersen, J.O. A comparative study on feature selection in text
categorization, the Proceedings of the 14th International Conference on Machine
Learning, Morgan Kaufmann, 1997, 412-420.
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