Information Technology Reference
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16. Robertson, R., Sparck-Jones, K.: Simple, proven approaches to text retrieval.
Technical Report (1997)
17. Rosario, B.: Latent Semantic Indexing: An overview. INFOSYS 240 (Spring
2000)
18. Ruiz, M.E., Srinivasan, P.: Hierarchical text categorization using neural net-
works. Information Retrieval 5(1), 87-118 (2002)
19. Schutze, H., Hull, D.A., Pedersen, J.O.: A comparison of classifiers and doc-
ument representations for the routing problem. In: Proceedings of the 18th
annual international ACM SIGIR conference on Research and development in
information retrieval, Seattle, Washington (1995)
20. Sebastiani, F.: Machine learning in automated text categorization. ACM Com-
puting Surveys 34(1), 1-47 (2002)
21. Tong, S., Koller, D.: Support Vector Machine Active Learning with Applica-
tions to Text Classification. Journal of Machine Learning Research 2, 45-66
(2001)
22. de Vel, O., Anderson, A., Corney, M., Mohay, G.: Mining E-Mail Content for
Author Identification Forensics. SIGMOD Record 30(4), 55-64 (2001)
23. Xu, Y., Olman, V., Xu, D.: Clustering gene expression data using graph-
theoretic approach: an application of minimum spanning trees. Bioinformat-
ics 18, 536-545 (2002)
24. Yang, Y., Liu, X.: A re-examination of text categorisation methods. In: Proc.
22nd Int. ACM SIGIR Conf. on Research and Development in Information
Retrieval (SIGIR 1999), pp. 67-73 (1999)
25. Yang, Y., Pedersen, J.O.: A comparative study on feature selection in text
categorization. In: Proceedings of the 14th International Conference on Machine
Learning, Nashville, US (1997)
26. Nigerian Fraud Email Gallery, http://potifos.com/fraud/
27. http://en.wikipedia.org/wiki/Plagiarism
28. http://en.wikipedia.org/wiki/D%C4%83nu%C5%A3_Marcu
 
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