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10. Dietterich T., Margineantu D., Provost F. & Turney P. (eds) (2000) Proceedings
of the ICML'2000 Workshop on Cost-sensitive Learning
11. Dumais S. & Chen H. (2000) Hierarchical classification of Web content. In: Pro-
ceedings of the 23rd annual international ACM SIGIR conference on Research
and development in information retrieval (SIGIR2000)
12. Elkan C. (2001) The Foundations of Cost-Sensitive Learning. In: Proceedings
of the Seventeenth International Joint Conference on Artificial Intelligence (IJ-
CAI'01)
13. Fan W., Yu P. S. & Wang H. (2004) Mining Extremely Skewed Trading Anoma-
lies. In: Advances in Database Technology - EDBT 2004: 9th International
Conference on Extending Database Technology
14. Forman G. (2003) An extensive empirical study of feature selection metrics for
text classification. The Journal of Machine Learning Research, Special Issue on
Variable and Feature Selection 3:1289-1305
15. Ghani R. (2002) Combining Labeled and Unlabeled Data for MultiClass Text
Categorization. In: International Conference on Machine Learning (ICML 2002)
16. Goldman S. & Zhou Y. (2000) Enhancing Supervised Learning with Unlabeled
Data. In: Proceedings of 17th International Conference on Machine Learning
17. Japkowicz N. (eds) (2000) Proceedings of the AAAI'2000 Workshop on Learning
from Imbalanced Data Sets. AAAI Tech Report WS-00-05, AAAI
18. Japkowicz N., Myers C. & Gluck M. A. (1995) A Novelty Detection Approach to
Classification. In: Proceedings of the Fourteenth International Joint Conference
on Artificial Intelligence (IJCAI-95)
19. Joachims T. (1998) Text categorization with Support Vector Machines: Learn-
ing with many relevant features. In: ECML-98, Tenth European Conference on
Machine Learning
20. Joachims T. (2001) A Statistical Learning Model of Text Classification with
Support Vector Machines. In: Proceedings of the 24th annual international
ACM SIGIR conference on Research and development in information retrieval
21. Joachims T. (2002) Learning to Classify Text Using Support Vector Machines.
Kluwer Academic Publishers
22. Leopold E. & Kindermann J. (2002) Text Categorization with Support Vector
Machines - How to Represent Texts in Input Space. Machine Learning 46:423-
444
23. Lewis D. D. & Gale W. A. (1994) A Sequential Algorithm for Training Text
Classifiers. In: Proceedings of SIGIR-94, 17th ACM International Conference
on Research and Development in Information Retrieval
24. Lewis D. D., Yang Y., Rose T. G. & Li F. (2004) RCV1: a new benchmark col-
lection for text categorization research. Journal of Machine Learning Research
5:361-397
25. Liu A. Y. C. (2004) The effect of oversampling and undersampling on classifying
imbalanced text datasets. Masters thesis. University of Texas at Austin
26. Liu B., Dai Y., Li X., Lee W. S. & Yu P. (2003) Building Text Classifiers
Using Positive and Unlabeled Examples. In: Proceedings of the Third IEEE
International Conference on Data Mining (ICDM'03)
27. Liu Y., Loh H. T. & Tor S. B. (2004) Building a Document Corpus for Manu-
facturing Knowledge Retrieval. In: Proceedings of the Singapore MIT Alliance
Symposium 2004
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