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Volumn 1094, Issue , 2013, Pages

Two hierarchical text categorization approaches for BioASQ semantic indexing challenge

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; INDEXING (OF INFORMATION); INFORMATION SERVICES; SEMANTICS; TEXT PROCESSING; THESAURI;

EID: 84923116142     PISSN: 16130073     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (6)

References (11)
  • 1
    • 67449116599 scopus 로고    scopus 로고
    • Bayesian network models for hierarchical text classification from a thesaurus
    • L.M. de Campos, A.E. Romero. Bayesian network models for hierarchical text classification from a thesaurus. International Journal of Approximate Reasoning 50(7):932-944, 2009.
    • (2009) International Journal of Approximate Reasoning , vol.50 , Issue.7 , pp. 932-944
    • De Campos, L.M.1    Romero, A.E.2
  • 2
    • 78651375098 scopus 로고    scopus 로고
    • A survey of hierarchical classification across different application domains
    • C. N. Silla Jr., A. A. Freitas. A survey of hierarchical classification across different application domains. Data Mining and Knowledge Discovery. Vol. 22, No. 1-2, pp. 31-72, 2011.
    • (2011) Data Mining and Knowledge Discovery , vol.22 , Issue.1-2 , pp. 31-72
    • Silla, C.N.1    Freitas, A.A.2
  • 5
    • 0002346866 scopus 로고    scopus 로고
    • Hierarchically classifying documents using very few words
    • Nashville, US
    • D. Koller and M. Sahami. Hierarchically classifying documents using very few words. Proc. of 14th Int. Conf. on Machine Learning, pp. 170-178, Nashville, US, 1997.
    • (1997) Proc. of 14th Int. Conf. on Machine Learning , pp. 170-178
    • Koller, D.1    Sahami, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.