A Study on Text Classification for Webmining Based Spatio Temporal
Analysis of the Spread of Tropical Diseases Page 60 of 71
Fatimah Wulandini REFERENCES
Abe, S. 2005, Support Vector Machines for Pattern Classification, Springer-Verlag New York, Inc., Secaucus, NJ, USA.
Apte, C., Damerau, F. & Weiss, S. M. 1994, 'Automated Learning of Decision Rules for Text Categorization', ACM Transactions on Information Systems, vol. 12, pp. 233 – 251.
Bishop, C. M. 2006, Pattern Recognition and Machine Learning (Information Science and Statistics), Springer.
Burges, C. J. C. 1998, 'A Tutorial on Support Vector Machines for Pattern
Recognition', Data Mining and Knowledge Discovery, vol. 2, pp. 121 – 167.
Cohen, W. W. & Singer, Y. 1996, ‘Context-Sensitive Learning Methods for Text Categorization’, ACM Transactions on Information Systems, ACM Press, pp.
307-315.
Deitel, H. M. & Deitel, P. J. 2004, C: How to Program, Prentice-Hall, Inc, Upper Saddle River, NJ.
Joachims, T. 2001, ‘A Statistical Learning Model of Text Classification for Support Vector Machines’, Proceedings of the 24th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, ACM Press, pp. 128 – 136.
Joachims, T. 2001, Learning to Classify Text Using Support Vector Machines:
Methods, Theory and Algorithms, Kluwer Academic Publishers.
A Study on Text Classification for Webmining Based Spatio Temporal
Analysis of the Spread of Tropical Diseases Page 61 of 71
Fatimah Wulandini Joachims, T. 1998, ‘Text Categorization with Support Vector Machines: Learning
with Many Relevant Features’, Proceedings of the European Conference on Machine Learning, Springer, pp. 137 – 142.
Lewis, D. D. 1991, ‘Evaluating Text Categorization’, Proceedings of Speech and Natural Language Workshop, Morgan Kaufmann, pp. 312 – 318.
Lewis, D. D. & Ringuette, M. 1994, ‘A Comparison of Two Learning Algorithms for Text Categorization’, Third Annual Symposium on Document Analysis and Information Retrieval, pp. 81 – 93.
Mounia, N. G., Lalmas, M. & Fuhr, N. 1999, ‘A Probabilistic Description-Oriented Approach for Categorising Web Documents’, Proceedings of CIKM-99, 8th ACM International Conference on Information and Knowledge Management, pp. 475 – 482.
Nugroho, A. S. 2007, Pengantar Support Vector Machine.
Pedoman Umum Ejaan Bahasa Indonesia yang Disempurnakan 1993, PT Gramedia Widiasarana Indonesia.
Prasetyo, B., Uliniansyah, M. T., Pragesjvara, V., Gunawan, M., Gunarso, Irbandini, R., Nugroho, A. S. & Handoko, D. 2008, ‘Desain Sistem Analisa Spatio- Temporal Penyebaran Penyakit Tropis Memakai Web Mining’, Proceedings of Konferensi Nasional Sistem & Informatika, pp. 44 – 49.
Provost, F. & Fawcett, T. 1997, ‘Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions’, Proceedings of the Third International Conference on Knowledge Discovery and Data Mining, AAAI Press, pp. 43 - 48.
A Study on Text Classification for Webmining Based Spatio Temporal
Analysis of the Spread of Tropical Diseases Page 62 of 71
Fatimah Wulandini Tan, P.-N., Steinbach, M. & Kumar, V. 2006, Introduction to Data Mining, Pearson
Education, Inc., Boston, MA.
Weiss, S. M., Indurkhya, N., Zhang, T. & Damerau, F. J. 2005, Text Mining:
Predictive Methods for Analyzing Unstructured Information, Springer, New York, NY.
Witten, I. H. & Frank, E. 2005, Data Mining: Practical Machine Learning Tools and Techniques, Morgan Kaufmann, San Francisco, CA.
Wulandini, F. & Nugroho, A. S. 2009, ‘Text Classification Using Support Vector Machine for Webmining Based Spatio Temporal Analysis of the Spread of Tropical Diseases’, Proceedings of International Conference on Rural Information and Communication Technology, pp. 189 – 192.
Yang, Y. 1997, 'An Evaluation of Statistical Approaches to Text Categorization', Journal of Information Retrieval, vol. 1, pp. 67 – 88.
Wang, L. (ed.) 2005, Support Vector Machines: Theory and Applications (Studies in Fuzziness and Soft Computing), vol. 177, Springer-Verlag Berlin Heidelberg.
