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Volumn , Issue , 2003, Pages 336-341

Using association features to enhance the performance of Naïve Bayes text classifier

Author keywords

Classification tree analysis; Computer science; Data mining; Decision trees; Feature extraction; Information analysis; Itemsets; Space technology; Text categorization; Text mining

Indexed keywords

ARTIFICIAL INTELLIGENCE; COMPUTER SCIENCE; DATA MINING; DECISION TREES; FEATURE EXTRACTION; INFORMATION ANALYSIS; SODIUM; TEXT PROCESSING; TREES (MATHEMATICS);

EID: 34247347053     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCIMA.2003.1238148     Document Type: Conference Paper
Times cited : (6)

References (8)
  • 8
    • 0002442796 scopus 로고    scopus 로고
    • Machine learning in automated text categorization
    • Fabrizio Sebastiani, "Machine learning in automated text categorization", ACM Computing Surveys, 2002,34(1), pp. 1-47.
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.