Hierarchical document classification using automatically generated hierarchy

Proceedings of the 2005 SIAM International Conference on Data Mining, SDM 2005

Volumn , Issue , 2005, Pages 521-525

  Li, Tao ^a   Zhu, Shenghuo ^b  

^a The Department of Electrical and Computer Engineering   (United States)

^b NEC LABORATORIES AMERICA   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DATA MINING; MATHEMATICAL TRANSFORMATIONS; TEXT PROCESSING;

AUTOMATED TEXT CATEGORIZATION; AUTOMATICALLY GENERATED; CLASSIFICATION PERFORMANCE; HIERARCHICAL DOCUMENT; HIERARCHICAL DOCUMENT CATEGORIZATION; HIERARCHICAL STRUCTURES; LOW-DIMENSIONAL SPACES; SOURCES OF INFORMATIONS;

INFORMATION RETRIEVAL SYSTEMS;

EID: 84880118489     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972757.53     Document Type: Conference Paper

References (10)

1. D'Alessio, S., Murray, K., Schiaffino, R., & Kershenbaum, A. (2000). The effect of using hierarchical classifiers in text categorization. RIAO-00.
2. Deerwester, S. C., Dumais, S. T., Landauer, T. K., Furnas, G. W., & Harshman, R. A. (1990). Indexing by latent semantic analysis. Journal of the American Society of Information Science, 41, 391-407.
3. Fukunaga, K. (1990). Introduction to statistical pattern recognition. New York: Academic Press. 2nd edition.
4. Howland, P., & Park, H. (2004). Generalizing discriminant analysis using the generalized singular value decomposition. IEEE PAMI, 26, 995-1006.
5. Jain, A. K., & Dubes, R. C. (1988). Algorithms for clustering data. Prentice Hall.
6. Koller, D., & Sahami, M. (1997). Hierarchically classifying documents using very few words. ICML.
7. Li, T., Zhu, S., & Ogihara, M. (2003a). Efficient multi-way text categorization via generalized discriminant analysis. ACM CIKM (pp. 317-324).
8. Li, T., Zhu, S., & Ogihara, M. (2003b). Topic hierarchy generation via linear discriminant projection. ACM SIGIR (pp. 421-422).
9. Sun, A., & Lim, E.-P. (2001). Hierarchical text classification and evaluation. ICDM (pp. 521-528).
10. Yang, Y., & Liu, X. (1999). A re-examination of text categorization methods. SIGIR.