Text mining with decision rules and decision trees, Citeseer, 1998. ,
Support-vector networks, Machine Learning, vol.1, issue.3, pp.273-297, 1995. ,
DOI : 10.1007/BF00994018
Online passiveaggressive algorithms, Journal of Machine Learning Research, vol.7, pp.551-585, 2006. ,
Supervised term weighting for automated text categorization, Text mining and its applications, pp.81-97, 2004. ,
DOI : 10.1145/952686.952688
URL : http://faure.iei.pi.cnr.it/~fabrizio/Publications/SAC03b.pdf
A Comparative Study on Feature Weight in Text Categorization, Asia-Pacific Web Conference, pp.588-597, 2004. ,
DOI : 10.1007/978-3-540-24655-8_64
A Comparative Study on Feature Weight in Text Categorization, Advanced Web Technologies and Applications, pp.588-597, 2004. ,
DOI : 10.1007/978-3-540-24655-8_64
Text categorization with Support Vector Machines: Learning with many relevant features, European conference on machine learning, pp.137-142, 1998. ,
DOI : 10.1007/BFb0026683
URL : http://ranger.uta.edu/~alp/ix/readings/SVMsforTextCategorization.pdf
Supervised and traditional term weighting methods for automatic text categorization. Pattern Analysis and Machine Intelligence, IEEE Transactions on, vol.31, issue.4, pp.721-735, 2009. ,
A comparison of event models for naive bayes text classification, AAAI-98 workshop on learning for text categorization, pp.41-48, 1998. ,
Feature selection, perception learning, and a usability case study for text categorization, ACM SIGIR Forum, vol.31, issue.SI, pp.67-73, 1997. ,
DOI : 10.1145/278459.258537
C4.5: Programs for Machine Learning, 1993. ,
Boostexter: A boosting-based system for text categorization, Machine Learning, vol.39, issue.2/3, pp.135-168, 2000. ,
DOI : 10.1023/A:1007649029923
A STATISTICAL INTERPRETATION OF TERM SPECIFICITY AND ITS APPLICATION IN RETRIEVAL, Journal of Documentation, vol.28, issue.1, pp.11-21, 1972. ,
DOI : 10.1002/asi.5090180209
Diagnosis of multiple cancer types by shrunken centroids of gene expression, Proceedings of the National Academy of Sciences, vol.26, issue.3, pp.6567-6572, 2002. ,
DOI : 10.1093/biomet/81.3.425
Inverse category frequency based supervised term weighting scheme for text categorization. preprint arXiv:1012, pp.2609-2613, 2013. ,
Top 10 algorithms in data mining, Knowledge and Information Systems, vol.9, issue.2, pp.1-37, 2008. ,
DOI : 10.1017/CBO9780511815478
URL : http://www.cse.ust.hk/~qyang/Docs/2007/top10.pdf
Expert Network: Effective and Efficient Learning from Human Decisions in Text Categorization and Retrieval, Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval, pp.13-22, 1994. ,
DOI : 10.1007/978-1-4471-2099-5_2
A study of term weighting schemes using class information for text classification, Proceedings of the 35th international ACM SIGIR conference on Research and development in information retrieval, pp.1029-1030, 2012. ,
Solving large scale linear prediction problems using stochastic gradient descent algorithms, Twenty-first international conference on Machine learning , ICML '04, pp.919-926, 2004. ,
DOI : 10.1145/1015330.1015332
URL : http://www.aicml.cs.ualberta.ca/banff04/icml/pages/papers/12.ps