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Volumn , Issue , 2010, Pages

A machine learning approach for text categorization of fixing-issue commits on CVS

Author keywords

classifier; data mining; machine learning

Indexed keywords

CVS REPOSITORIES; MACHINE-LEARNING; NETBEANS; ON-MACHINES; PRECISION AND RECALL; TEXT CATEGORIZATION; TIME PERFORMANCE;

EID: 78149236983     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1852786.1852794     Document Type: Conference Paper
Times cited : (14)

References (23)
  • 7
    • 84876811202 scopus 로고    scopus 로고
    • RCV1: A New Benchmark Collection for Text Categorization Research
    • D. Lewis, Y. Yang, T. Rose, and F. Li, "RCV1: A New Benchmark Collection for Text Categorization Research", J. Machine Learning Research, vol. 5, pp. 361-397, 2004.
    • (2004) J. Machine Learning Research , vol.5 , pp. 361-397
    • Lewis, D.1    Yang, Y.2    Rose, T.3    Li, F.4
  • 16
    • 84957069814 scopus 로고    scopus 로고
    • Text Categorization with Support Vector Machines:Learning with Many Relevant Features
    • T. Joachims, "Text Categorization with Support Vector Machines:Learning with Many Relevant Features". In Proc. 10th European Conference Machine Learning, pp. 137-142, 1998.
    • (1998) Proc. 10th European Conference Machine Learning , pp. 137-142
    • Joachims, T.1
  • 17
    • 0002442796 scopus 로고    scopus 로고
    • Machine Learning in Automated Text Categorization
    • F. Sebastiani, "Machine Learning in Automated Text Categorization", ACM Computing Surveys, vol. 34, no. 1, pp. 1-47, 2002.
    • (2002) ACM Computing Surveys , vol.34 , Issue.1 , pp. 1-47
    • Sebastiani, F.1
  • 19
    • 0000629975 scopus 로고
    • Cross-validatory choice and assesment of statistical predictions (with discussion)
    • M. Stone. "Cross-validatory choice and assesment of statistical predictions (with discussion)". Journal of the Royal Statistical Society B, 36:111-147, 1974.
    • (1974) Journal of the Royal Statistical Society B , vol.36 , pp. 111-147
    • Stone, M.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.