MSVM-kNN: Combining SVM and k-NN for multi-class text classification

Proceedings - 1st IEEE International Workshop on Semantic Computing and Systems, WSCS 2008

Volumn , Issue , 2008, Pages 133-140

  Yuan, Pingpeng ^a   Chen, Yuqin ^a   Jin, Hai ^a   Huang, Li ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); INFORMATION RETRIEVAL SYSTEMS; INFORMATION THEORY; LEARNING SYSTEMS; SEMANTICS; TEXT PROCESSING; VIDEO STREAMING;

K-NEAREST NEIGHBOR; MANAGEMENT APPLICATIONS; SUPPORT-VECTOR MACHINE; TEXT CATEGORIZATION; TEXT CLASSIFICATION;

SUPPORT VECTOR MACHINES;

EID: 52149112489     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/WSCS.2008.36     Document Type: Conference Paper

References (23)

1. F. Sebastiani, "Machine Learning in Automated Text Categorization", Technical Report: Centre National de la Recherche Scientifique. 1999
2. R. Duwairi, "An eager k-nearest-neighbor classifier for Arabic text categorization", Proceedings of the International Conference on Data Mining (ICDM'05), Nevada, USA, 2005, pp. 187-192
3. J. Cervantes, X. Li, W. Yu, and K. Li, "Support vector machine classification for large data sets via minimum enclosing ball clustering", Neurocomputing, Vol. 71, No. 4, 2008, pp. 611-619
4. Y. S. Xia and J. Wang, "A one-layer recurrent neural network for support vector machine learning", IEEE Trans. Syst. Man Cybern. B, 2004, pp. 1261-1269
5. E. Gabrilovich and S. Markovitch, "Text Categorization with Many Redundant Features: Using Aggressive Feature Selection to Make SVMs Competitive with C4.5", Proceedings of The Twenty-First International Conference on Machine Learning, Banff, Alberta, Canada, 2004, Morgan Kaufmann, pp. 321-328
6. Y. Yang, J. Zhang, and B. Kisiel, "A scalability analysis of classifiers in text categorization", Proceedings of the 26th Annual International ACM SIGIR conference on Research and Development in Information Retrieval, Toronto, Canada, ACM Press, 2003, pp. 96-103
7. Y. Y. Chung, E. H. C. Choi, L. Liu, M. A. Shhukran, D. Y. Shi, and F. Chen, "A New Hybrid Audio Categorization Algorithm Based on SVM Weight Factor and Euclidean Distance", Proc. Of the 2007 WSEAS International Conference on Computer Engineering and Applications, Gold Coast, Australia, 2007, pp. 152-158
8. M. Pazzani, J. Muramatsu, and D. Billsus, "Syskill & Webert: identifying interesting web sites", Proc. of the Thirteenth Amer. Nat. Conf. on Artificial Intelligence (AAAI-96), Vol. 1. AAAI Press, Portland, OR, 1996, pp. 54-61
9. G. Ou and Y. L. Murphey, "Multi-class pattern classification using neural networks", Pattern Recognition, Vol. 40, No. 1, January 2007, pp. 4-18
10. T. Joachims, "A statistical learning model of text classification with support vector machines", Proceedings of the 24th ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR), 2001, pp. 128-136
11. O. Chapelle and A. Zien, "Semi-supervised classification by low density separation", Proceedings of the Tenth International Workshop on Artificial Intelligence and Statistics, 2005
12. J. Weston and C. Watkins, "Multi-class support vector machines", Technical Report CSD-TR-9800-04, Department of Computer Science, Royal Holloway, Univ. London, 1998
13. J. C. Platt, "Probabilities for Support Vector Machines", Advances in Large Margin Classifiers, MIT Press, 1999, pp. 61-74
14. B. Schölkopf and A. J. Smola, Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond, MIT Press, Cambridge MA, 1st edition, December 15, 2001
15. S. Gao, W. Wu, C.-H. Lee, and T.-S. Chua, "A MFoM Learning Approach to Robust Multiclass Multi-Label Text Categorization", Proceedings of the twenty-first international conference on Machine learning, Banff, Alberta, Canada. 2004
16. T.-Y. Wang and H.-M. Chiang, "Fuzzy support vector machine for multi-class text categorization", Information Processing and Management: an International Journal, Vol. 43, No. 4, July 2007, pp. 914-929
17. P. Zhang and J. Peng, "SVM vs regularized least squares categorization", Proceedings of the 17th International Conference on Pattern Recognition, 2004, pp. 176-179
18. J. Zhang and Y. Yang, "Robustness of regularized linear categorization methods in text categorization", Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28-August 1, 2003, Toronto, Canada. ACM 2003, pp. 190-197
19. P. Lingras and C. Butz, "Rough set based 1-v-1 and 1-v-r approaches to support vector machine multi-classification", Information Sciences, Vol. 177, No. 18, 2007, pp. 3782-3798
20. H. Jin and H. Wu, "Semantic metadata models in references sharing and retrieval system-SemreX", Proc. of 1st Int. Conf. on Grid and Pervasive Computing, May 3-5, 2006, pp. 437-446
21. X. M. Ning, H. Jin, and H. Wu, "SemreX: Towards Large-scale Literature Information Retrieval and Browsing with Semantic Association", Proceedings of 2nd IEEE International Symposium on Service-Oriented Applications, Integration and Collaboration (SOAIC'06), Shanghai, China, 2006, pp. 602-609
22. L. Shih, J. D. M. Rennie, Y.-H. Chang, and D. R. Karger, "Text bundling: statistics-based data reduction", Proceedings of the Twentieth International Conference on Machine Learning (ICML'03), August 21-24, 2003, Washington, DC, USA, AAAI Press, 2003, pp. 696-703
23. Q. Zhang, L. Zhang, S. Dong, and J. Tan, "Document indexing in text categorization", Proc. of the 4th International Conference on Machine Learning and Cybernetics, Guangzhou, 2005, pp. 392-396