Combining multiple k-nearest neighbor classifiers for text classification by reducts

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 2534, Issue , 2002, Pages 340-347

  Bao, Yongguang ^a   Ishii, Naohiro ^a  

^a NAGOYA INSTITUTE OF TECHNOLOGY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION TREES; MOTION COMPENSATION; NEAREST NEIGHBOR SEARCH;

COMBINING METHOD; IMPROVING PERFORMANCE; K-NEAREST NEIGHBOR CLASSIFIER; MULTIPLE CLASSIFIERS; MULTIPLE K-NEAREST NEIGHBORS; NEAREST NEIGHBOR CLASSIFIER; NEW APPROACHES; TEXT CLASSIFICATION;

TEXT PROCESSING;

EID: 84871052245     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/3-540-36182-0_34     Document Type: Conference Paper

References (8)

1. T. Joachims, “Text Classification with Support Vector Machines: Learning with Many Relevant Features”, ECML-98, 10th European Conference on Machine Learning, 1998, pp. 170-178.
2. M. Craven, D. Dipasquo, D. Freitag, A. McCallum, T. Mitchell, K. Nigam & S. Slattery, “Learning to Symbolic Knowledge from the World Wide Web”, Proceeding of the 15th Na-tional Conference on Artificial Intelligence (AAAI-98), 1998, pp. 509-516.
3. K. Lang, “Newsweeder: Learning to Filter Netnews”, Machine Learning: Proceeding of the Twelfth International (ICML95), 1995, pp. 331-339.
4. Y. Yang, “An Evaluation of Statistical Approaches to Text Classification”, Journal of Infor-mation Retrieval, 1, 1999, pp. 69-90.
5. A. Skowron & C. Rauszer, “The Discernibility Matrices and Functions in Information Systems”, in R. Slowinski (ed.) Intelligent Decision Support - Handbook of Application and Advances of Rough Sets Theory, Kluwer Academic Publishers, Dordrecht, 1992, pp. 331-362.
6. S.D. Bay, “Combining Nearest Neighbor Classifiers Through Multiple Feature Subsets”, Intelligent Data Analysis, 3(3), 1999, pp. 191-209.
7. Itqon, S. Kaneko & S. Igarashi, “Combining Multiple k-Nearest Neighbor Classifiers Using Feature Combinations”, Journal IECI, 2(3), 2000, pp. 23-319.
8. Y. Bao, S. Aoyama, X. Du, K. Yamada & N. Ishii, “A Rough Set-Based Hybrid Method to Text Categorization”, Proc. 2nd International Conf. on Web Information Systems Engi-neering, Kyoto, Japan, pp. 254-261, Dec. 2001.