Noise reduction to text categorization based on density for KNN

International Conference on Machine Learning and Cybernetics

Volumn 5, Issue , 2003, Pages 3119-3124

  Li, Rong Lu ^a   Hu, Yun Fa ^a  

^a FUDAN UNIVERSITY   (China)

Author keywords

K Nearest Neighbor; Text classification

Indexed keywords

ALGORITHMS; ARTIFICIAL INTELLIGENCE; COMPUTATIONAL METHODS; INFORMATION ANALYSIS; LEARNING SYSTEMS; LEAST SQUARES APPROXIMATIONS; NATURAL LANGUAGE PROCESSING SYSTEMS; NEURAL NETWORKS; NOISE ABATEMENT; WORLD WIDE WEB;

K-NEAREST NEIGHBOR; TEXT CLASSIFICATION;

TEXT PROCESSING;

EID: 1542276818     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (12)

1. D. Lewis, Naive (Bayes) at Forty: The Independence Assumption in Information Retrieval In Machine Learning, the 10th European Conference on Machine Learning, 1998
2. Y. Yang and X. Lin, A Re-Examination of Text Categorization Methods. In Proceedings of SIGIR 99, 1999
3. Y. Yang and C. G. Chute, An Example-Based Mapping Method for Text Categorization and Retrieval, ACM Transaction on Information Systems (TOIS), 12(3): 252-277, 1994
4. E. Wiener, A Neural Network Approach to Topic Spotting, Proceedings of the 4th Annual Symposium on Document Analysis and Information Retrieval, 1995
5. R. E. Schapire and Y. Singer, Improved Boosting Algorithms Using Confidence-Rated Predications, Proceedings of the 11th Annual Conference on Computational Learning Theory, 1998
6. T. Joachims, Text Categorization With Support Vector Machines: Learning With Many Relevant Features, 10th European Conference on Machine Learning, 1998
7. P. E. Hart, The Condensed Nearest Neighbor Rule, IEEE Trans. Information Theory, 14 (3):515-516, 1968
8. D. L. Wilson, Asymptotic Properties of Nearest Neighbor Rules Using Edited Data, IEEE Transactions on Systems, Man and Cybernetics, SMC-2: 408-421, 1972
9. P. Devijver and J. Kittler, Pattern Recognition: A Statistical Approach, Prentice Hall. Englewood Cliffs, 1982
10. L. I. Kuncheva, Editing for the k-Nearest Neighbors Rule by A Genetic Algorithms. Pattern Rcognition Letters. 1995, 16:809-814
11. L. I. Kuncheva, Fitness Functions in Editing K-NN Reference Set by Genetic Algorithms, Pattern Rcognition, 30(6): 1041-1049, 1997
12. M. Ester, H P Kriegel, J Sander and X Xu, A Density-Based Algorithm for Discovering Clusters in Large Spatial Database with Noise, Proceedings of the 2nd International Conference on Knowledge Discovery and Data Mining, Portland, 1996