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Volumn 3, Issue 3, 2009, Pages 299-313

Clinical text classification under the open and closed topic assumptions

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHM; ARTICLE; ARTIFICIAL INTELLIGENCE; AUTOMATED PATTERN RECOGNITION; CLASSIFICATION; MEDICAL RECORD; NATURAL LANGUAGE PROCESSING;

EID: 68049116952     PISSN: 17485673     EISSN: 17485681     Source Type: Journal    
DOI: 10.1504/IJDMB.2009.026703     Document Type: Article
Times cited : (8)

References (24)
  • 1
    • 0028461417 scopus 로고
    • Automated learning of decision rules for text categorization
    • Apte, C., Damerau, F.J. and Weiss, S.M. (1994) 'Automated learning of decision rules for text categorization', ACM Transactions on Information Systems, Vol. 12, No. 3, pp.233-251.
    • (1994) ACM Transactions on Information Systems , vol.12 , Issue.3 , pp. 233-251
    • Apte, C.1    Damerau, F.J.2    Weiss, S.M.3
  • 4
    • 8844267104 scopus 로고    scopus 로고
    • Multi-label Semantic Scene Classification
    • Department of Computer Science, University of Rochester
    • Boutell, M., Shen, X., Luo, J. and Brown, C. (2003) Multi-label Semantic Scene Classification, Technical Reports 813, Department of Computer Science, University of Rochester.
    • (2003) Technical Reports , vol.813
    • Boutell, M.1    Shen, X.2    Luo, J.3    Brown, C.4
  • 5
    • 34249753618 scopus 로고
    • Support vector networks
    • Cortes, C. and Vapnik, V.M. (1995) 'Support vector networks', Machine Learning, Vol. 20, pp.273-297.
    • (1995) Machine Learning , vol.20 , pp. 273-297
    • Cortes, C.1    Vapnik, V.M.2
  • 6
    • 0010442827 scopus 로고    scopus 로고
    • On the algorithmic implementation of multi-class SVMs
    • Crammer, K. and Singer, Y. (2001) 'On the algorithmic implementation of multi-class SVMs', Journal of Machine Learning Research, Vol. 2, pp.265-292.
    • (2001) Journal of Machine Learning Research , vol.2 , pp. 265-292
    • Crammer, K.1    Singer, Y.2
  • 9
    • 85105809948 scopus 로고    scopus 로고
    • Inductive learning algorithms and representations for text categorization
    • Bethesda, USA, pp
    • Dumais, S.T., Platt, J., Heckerman, D. and Sahami, M. (1998) 'Inductive learning algorithms and representations for text categorization', Prof. CIKM '98, Bethesda, USA, pp.148-155.
    • (1998) Prof. CIKM '98 , pp. 148-155
    • Dumais, S.T.1    Platt, J.2    Heckerman, D.3    Sahami, M.4
  • 10
    • 0000554594 scopus 로고    scopus 로고
    • The C-value/NC-value domain independent method for multi-word term extraction
    • Frantzi, K. and Ananiadou, S. (1999) 'The C-value/NC-value domain independent method for multi-word term extraction', Journal of Natural Language Processing, Vol. 6, No. 3, pp.145-179.
    • (1999) Journal of Natural Language Processing , vol.6 , Issue.3 , pp. 145-179
    • Frantzi, K.1    Ananiadou, S.2
  • 11
    • 33747044600 scopus 로고
    • Metric and euclidean properties of dissimilarity coefficient
    • Gower, J.C. and Legendre, P. (1986) 'Metric and euclidean properties of dissimilarity coefficient', Journal of Classification, Vol. 3, pp.5-48.
    • (1986) Journal of Classification , vol.3 , pp. 5-48
    • Gower, J.C.1    Legendre, P.2
  • 12
    • 84957069814 scopus 로고    scopus 로고
    • Text categorization with support vector machines: Learning with many relevant features
    • Chemnitz, Germany, pp
    • Joachims, T. (1998) 'Text categorization with support vector machines: learning with many relevant features', Proc. 10th European Conference on Machine Learning (ECML-98), Chemnitz, Germany, pp.137-142.
    • (1998) Proc. 10th European Conference on Machine Learning (ECML-98) , pp. 137-142
    • Joachims, T.1
  • 13
    • 24044538260 scopus 로고    scopus 로고
    • Maximum entropy models with inequality constraints: A case study on text categorization
    • Kazama, J. and Tsujii, J. (2005) 'Maximum entropy models with inequality constraints: A case study on text categorization', Machine Learning Vol. 60, Nos. 1-3, pp.169-194.
    • (2005) Machine Learning , vol.60 , Issue.1-3 , pp. 169-194
    • Kazama, J.1    Tsujii, J.2
  • 14
    • 0003223784 scopus 로고    scopus 로고
    • Multi-label text classification with a mixture model trained by EM
    • Orland, USA, pp
    • McCallum, A. (1999) 'Multi-label text classification with a mixture model trained by EM', AAAI-99 Workshop on Text Learning, Orland, USA, pp.1-7.
    • (1999) AAAI-99 Workshop on Text Learning , pp. 1-7
    • McCallum, A.1
  • 18
    • 84888364466 scopus 로고    scopus 로고
    • Large margin DAGs for multiclass classification
    • Denver, USA, pp
    • Platt, J.C., Cristianini, N. and Shawe-Taylor, J. (1999) 'Large margin DAGs for multiclass classification', Proc. NIPS-99, Denver, USA, pp.547-553.
    • (1999) Proc. NIPS-99 , pp. 547-553
    • Platt, J.C.1    Cristianini, N.2    Shawe-Taylor, J.3
  • 19
    • 0033905095 scopus 로고    scopus 로고
    • BoosTexter: A boosting-based system for text categorization
    • Springer
    • Schapire, R.E. and Singer, Y. (2000) 'BoosTexter: A boosting-based system for text categorization', Machine Learning, Springer, Vol. 39, pp.135-168.
    • (2000) Machine Learning , vol.39 , pp. 135-168
    • Schapire, R.E.1    Singer, Y.2
  • 20
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Sebastiani, F. (2002) 'Machine learning in automated text categorization', ACM Computing Surveys, Vol. 34, No. 1, pp.1-47.
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 21
    • 11244271186 scopus 로고    scopus 로고
    • Parametric mixture models for multi-labeled text
    • MIT Press, Vancouver, Canada, pp
    • Ueda, N. and Saito, K. (2002) 'Parametric mixture models for multi-labeled text', Advances in Neural Information Processing Systems 15, MIT Press, Vancouver, Canada, pp.737-744.
    • (2002) Advances in Neural Information Processing Systems 15 , pp. 737-744
    • Ueda, N.1    Saito, K.2
  • 23
    • 0007595973 scopus 로고    scopus 로고
    • An Evaluation of Statistical Approaches to Text Categorization
    • Technical Report CMU-CS-97-127, Computer Science Department, Carnegie Mellon University
    • Yang, Y. (1997) An Evaluation of Statistical Approaches to Text Categorization, Technical Report CMU-CS-97-127, Computer Science Department, Carnegie Mellon University.
    • (1997)
    • Yang, Y.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.