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Volumn 5518 LNCS, Issue PART 2, 2009, Pages 926-929

Classification of MedLine documents using MeSH terms

Author keywords

[No Author keywords available]

Indexed keywords

APPLICATION OF BAYESIAN NETWORKS; CLASSIFIED DOCUMENTS; DIGITAL FORMS; EXPERIMENTAL EVALUATION; GENOMICS; INDUCTIVE PROCESS; MACHINE-LEARNING; MEDLINE; RELEVANCE JUDGMENT; RESEARCH FIELDS; TEXT CLASSIFICATION; TEXT CLASSIFIERS;

EID: 77952573705     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-02481-8_141     Document Type: Conference Paper
Times cited : (1)

References (9)
  • 6
    • 0038629804 scopus 로고    scopus 로고
    • Relationships in medical subject headings
    • Bean, C.A., Green, R. (eds.). Kluwer Academic Publishers, New York
    • Nelson, S.J., Johnston, D., Humphreys, B.L.: Relationships in medical subject headings. In: Bean, C.A., Green, R. (eds.) Relationships in the Organization of Knowledge, pp. 171-184. Kluwer Academic Publishers, New York (2001)
    • (2001) Relationships in the Organization of Knowledge , pp. 171-184
    • Nelson, S.J.1    Johnston, D.2    Humphreys, B.L.3
  • 9
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Sebastiani, F., Ricerche, C.N.D.: Machine learning in automated text categorization. ACM Computing Surveys 34, 1-47 (2002)
    • (2002) ACM Computing Surveys , vol.34 , pp. 1-47
    • Sebastiani, F.1    Ricerche, C.N.D.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.