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[1] N. Cristitanini , J. Shawe-Taylor, “An Introduction to Support Vector Machines”, Cambridge University Press, 2000 [2] Fabrizio S., “Machine Learining in Automated Text Categorization”, ACM Computing Surveys, 2002. [3] Li B., Yu S. Lu Q., “ An Improved K-Nearest Neighbor Algorithm for Text Categorization”, Proceedings of the 20th International Conference on Computer Processing of Oriental Languages, 2003. [4] Ingo S., “Consistency of support vector machines and other regularized kernel classifiers”, 2003. [5] T. Joachims, “Text Categorization with Support Vector Machines: Learning with Many Relevant Features”, Proceedings of the European Conference on Machine Learning Springer, 1998 [6] T. Joachims, “Learning to Classify Text Using Support Vector Machines”, Dissertation Kluwer, 2002. [7] J. Platt, “Fast Training of Support Vector Machines using Sequential Minimal Optimization”, MIT Press, 1998. [8] J. Han and M. Kamber, “Data Mining: Concepts and Techniques”, Morgan Kaufmann Publisher, 2000. [9] Ian H. Written and E. Frank, “Data Mining: Practical Machine Learning Tools and Techniques, Second Edition”, Morgan Kaufmann, 2005 [10] G. Salton. Associative document retrieval techniques using bibliographic information. Journal of the ACM, October, 1963 [11] G. Salton and M.E. Lesk. Computer evaluation of indexing and text processing. Journal of the ACM, January, 1968. [12] Chidanand Apt. Fred Damerau and Sholom M. Weiss, “Towards Language Independent Automated Learning of Text Categorization Models”, Proceedings of the 17th Annual International ACM-SIGIR Conference on Research and Development in information Retrieval, 1994, Pages 23-30 [13] William W. Cohen and Yoram Singer, “Context-Sensitive Learning Methods for Text Categorization”, Proceedings of the 19th Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval, 1996, Pages, 307-315 [14] Yiming Yang and Xin Lin, “A Re-Examination of Text Categorization Methods”, Proceedings of the 22nd Annual International ACM-SIGIR Conference on Research and Development in Information Retrieval ,1999, Pages 42-29 [15] Vapnik, V.N., “The Nature of Statistical Learning Theory”. Springer-Verlag, New York, NY, 2000
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