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Volumn 60, Issue 11, 2009, Pages 2347-2352

Feature reduction techniques for arabic text categorization

Author keywords

[No Author keywords available]

Indexed keywords

ARABIC TEXTS; CLASSIFICATION ACCURACY; CLASSIFICATION TIME; DATA SETS; DOCUMENT VECTORS; FEATURE REDUCTION; K-NEAREST NEIGHBORS; PRECISION AND RECALL; WORD-CLUSTERS;

EID: 70349898535     PISSN: 15322882     EISSN: 15322890     Source Type: Journal    
DOI: 10.1002/asi.21173     Document Type: Article
Times cited : (51)

References (20)
  • 3
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    • Support vector machines for text categorization
    • Los Alamitos, California: IEEE Press. Retrieved July 2 2009, from
    • Basu, A., Walters, C., & Shepherd, M. (2003). Support vector machines for text categorization. In Proceedings of the 36th Annual Hawaii International Conference on System Sciences (pp. 103-109). Los Alamitos, California: IEEE Press. Retrieved July 2, 2009, from http://ieeexplore. ieee.org/stamp/stamp.jsp? tp=&arnumber=1174243&isnumber=26341
    • (2003) Proceedings of the 36th Annual Hawaii International Conference on System Sciences , pp. 103-109
    • Basu, A.1    Walters, C.2    Shepherd, M.3
  • 4
    • 70349898000 scopus 로고    scopus 로고
    • Active learning of SVM and decision tree classifiers for text categorization
    • January Paper presented at the, Herlany, Slovakia
    • Bednar, P. (2006, January). Active learning of SVM and decision tree classifiers for text categorization. Paper presented at the Fourth Slovakian- Hungarian Joint Symposium on Applied Machine Intelligence, Herlany, Slovakia.
    • (2006) Fourth Slovakian- Hungarian Joint Symposium on Applied Machine Intelligence
    • Bednar, P.1
  • 5
    • 84948992000 scopus 로고    scopus 로고
    • Automatic text categorization: Case study
    • November Paper presented at the, Pernambuco, Brazil
    • Correa, R.F., & Ludermir, T.B. (2002, November). Automatic text categorization: Case study. Paper presented at the VII Brazilian Symposium on Neural Networks, Pernambuco, Brazil.
    • (2002) VII Brazilian Symposium on Neural Networks
    • Correa, R.F.1    Ludermir, T.B.2
  • 13
    • 0003241643 scopus 로고    scopus 로고
    • Practical issues for automated categorization of web pages
    • September Paper presented at the, Lisbon, Portugal. Retrieved May 29, 2009, from
    • Pierre, J. (2000, September). Practical issues for automated categorization of web pages. Paper presented at the 2000 Workshop on the Semantic Web, Lisbon, Portugal. Retrieved May 29, 2009, from http://citeseer.ist. psu.edu/pierre00practical.html
    • (2000) 2000 Workshop on the Semantic Web
    • Pierre, J.1
  • 14
    • 84896888032 scopus 로고    scopus 로고
    • Statistical classification methods for Arabic news articles
    • July Paper presented at the. Toulonse, France
    • Sawaf, H.,Zaplo, J., &Ney, H. (2001, July). Statistical classification methods for Arabic news articles. Paper presented at the Arabic Natural Language Processing Workshop. Toulonse, France.
    • (2001) Arabic Natural Language Processing Workshop
    • Sawaf, H.1    Zaplo, J.2    Ney, H.3
  • 16
    • 65749103825 scopus 로고    scopus 로고
    • Feature selection for extracting semantically rich words
    • Robotics Institute, Carnegie Mellon University, Pittsburgh, PA
    • Seo, Y., Ankolekar, A., & Sycara, K. (2004). Feature selection for extracting semantically rich words. Technical Report CMU-RI-TR-04-18, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA.
    • (2004) Technical Report CMU-RI-TR-04-18
    • Seo, Y.1    Ankolekar, A.2    Sycara, K.3
  • 20
    • 0003141935 scopus 로고    scopus 로고
    • A comparative study on feature selection in text categorization
    • J.D.H. Fisher (Ed.) San Francisco: Morgan Kaufmann
    • Yang, Y., & Pedersen, J. (1997). A comparative study on feature selection in text categorization. In J.D.H. Fisher (Ed.). The Fourteenth International Conference on Machine Learning (ICML'97) (pp. 412-420). San Francisco: Morgan Kaufmann.
    • (1997) The Fourteenth International Conference on Machine Learning (ICML'97) , pp. 412-420
    • Yang, Y.1    Pedersen, J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.