Text categorization using hybrid multiple model schemes

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

Volumn 2810, Issue , 2003, Pages 88-99

  Kim, In Cheol ^a   Myoung, Soon Hee ^b  

^a Kyonggi University   (South Korea)

^b Yong in Songdam College   (South Korea)

Author keywords

[No Author keywords available]

Indexed keywords

ARTIFICIAL INTELLIGENCE; LEARNING SYSTEMS; TEXT PROCESSING;

AUTOMATIC TEXT CATEGORIZATION; INDUCTIVE MACHINE LEARNING; MULTIPLE-MODELING; PREDICTIVE ACCURACY; STACKING ALGORITHMS; TEXT CATEGORIZATION; TRAINING EXAMPLE; WEB DOCUMENT COLLECTION;

LEARNING ALGORITHMS;

EID: 35248883571     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-45231-7_9     Document Type: Article

References (12)

1. Kjersti A. and Eikvil L.: Text categorization: a survey. (1999)
2. Apte et al.: Automated learning of decision rules for text categorization. ACM Transactions on Information Systems, Vol.12, No.3, (1994) 233-251
3. Mladeni'c, D. and Grobelnik, M.: Efficient text categorization. In Text Mining workshop on the 10th European Conference on Machine Learning ECML-98 (1998)
4. Mitchell, Tom: Machine learning. New York: McGraw-Hill (1997)
5. Bauer, Eric and Ron Kohavi.: An empirical comparison of voting classification algorithms: bagging boosting and variants. Machine Learning Vol.36, (1999) 105-142
6. Breiman, Leo: Bagging predictors. Machine Learning Vol.24 (1996) 49-64
7. Schaphire, Robert E.: Theoretical views of boosting. Proceedings of the European Conference on Computational Learning Theory EuroCOLT-99 (1999)
8. Wolpert, D. and Macready, W.: Combining stacking with bagging to improve a learning algorithm. Technical report. Santa Fe Institute (1996)
9. Witten, Ian H. and Eibe, Frank: Data Mining: practical machine learning tools and techniques with Java implementations. Morgan Kaufman (2000)
10. Hong, Se June and Sholom M. Weiss: Advances in predictive model generation for data mining. IBM Research Report RC-21570 (1999)
11. Salton, Gerard: Introduction to information retrieval. McGraw-Hill (1983)
12. Yang, Yiming and Jan O. Pedersen: A comparative study on feature selection in text categorization. Proceedings of the 4th International Conference on Machine Learning (1997)