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Volumn 8, Issue 1, 2005, Pages 16-33

Best terms: An efficient feature-selection algorithm for text categorization

Author keywords

Feature selection; Machine learning; Text categorization

Indexed keywords

BARIUM COMPOUNDS; CLASSIFICATION (OF INFORMATION); FEATURE EXTRACTION; INFORMATION RETRIEVAL SYSTEMS; LEARNING SYSTEMS; TEXT PROCESSING;

EID: 19744376557     PISSN: 02191377     EISSN: 02193116     Source Type: Journal    
DOI: 10.1007/s10115-004-0177-2     Document Type: Article
Times cited : (58)

References (27)
  • 3
    • 0031334221 scopus 로고    scopus 로고
    • Selection of relevant features and examples in machine learning
    • Blum AL, Langley P (1997) Selection of relevant features and examples in machine learning. Artific Intell 97:245-271
    • (1997) Artific. Intell. , vol.97 , pp. 245-271
    • Blum, A.L.1    Langley, P.2
  • 9
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Chemnitz, DE
    • Joachims T (1998) Text categorization with support vector machines: learning with many relevant features. In: Proceedings of ECML-98, 10th European conference on machine learning, Chemnitz, DE, pp 137-142
    • (1998) Proceedings of ECML-98, 10th European Conference on Machine Learning , pp. 137-142
    • Joachims, T.1
  • 13
    • 0002312061 scopus 로고
    • Feature selection and feature extraction for text categorization, speech and natural language
    • Kaufmann, San Mateo, CA
    • Lewis DD (1992) Feature selection and feature extraction for text categorization, speech and natural language. In: Proceedings of a workshop held at Harriman, NY, pp 212-217. Kaufmann, San Mateo, CA
    • (1992) Proceedings of a Workshop Held at Harriman, NY , pp. 212-217
    • Lewis, D.D.1
  • 16
    • 0001857179 scopus 로고
    • Learning efficient classification procedures and their applications
    • Michalski RS, Carbonell JG, Mitchell TM (eds) Morgan Kaufmann, San Francisco, CA
    • Quinlan JR (1983) Learning efficient classification procedures and their applications. In: Michalski RS, Carbonell JG, Mitchell TM (eds) Machine learning: An artificial intelligence approach. Morgan Kaufmann, San Francisco, CA
    • (1983) Machine Learning: An Artificial Intelligence Approach
    • Quinlan, J.R.1
  • 17
    • 0003500248 scopus 로고
    • C4.5: Programs for machine learning
    • Morgan Kaufmann, San Francisco, CA
    • Quinlan JR (1993) C4.5: Programs for machine learning. Morgan Kaufmann, San Francisco, CA
    • (1993)
    • Quinlan, J.R.1
  • 20
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Sebastiani F (2002) Machine learning in automated text categorization. ACM Comput Surv 34:1-47
    • (2002) ACM Comput. Surv. , vol.34 , pp. 1-47
    • Sebastiani, F.1
  • 24
    • 27144441097 scopus 로고    scopus 로고
    • An evaluation of statistical approaches to text categorization
    • Yang Y (1999) An evaluation of statistical approaches to text categorization. J Inf Retrieval 1:67-88
    • (1999) J. Inf. Retrieval , vol.1 , pp. 67-88
    • Yang, Y.1
  • 27
    • 0001868572 scopus 로고    scopus 로고
    • Text categorization based on regularized linear classification methods
    • Zhang T, Oles FJ (2001) Text categorization based on regularized linear classification methods. Inf Retrieval 4:5-31
    • (2001) Inf. Retrieval , vol.4 , pp. 5-31
    • Zhang, T.1    Oles, F.J.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.