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Volumn 4212 LNAI, Issue , 2006, Pages 622-629

Cost-sensitive decision tree learning for forensic classification

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; CLASSIFICATION (OF INFORMATION); COMPUTATION THEORY; DECISION THEORY; ERROR ANALYSIS; TREES (MATHEMATICS);

EID: 33750322282     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11871842_60     Document Type: Conference Paper
Times cited : (31)

References (14)
  • 2
    • 4544254085 scopus 로고    scopus 로고
    • Finding latent code errors via machine learning over program executions
    • Y. Brun and M. D. Ernst. Finding latent code errors via machine learning over program executions. In ICSE, 2004.
    • (2004) ICSE
    • Brun, Y.1    Ernst, M.D.2
  • 8
    • 0036038345 scopus 로고    scopus 로고
    • Tracking down software bugs using automatic anomaly detection
    • S. Hangal and M. S. Lam. Tracking down software bugs using automatic anomaly detection. In ICSE, 2002.
    • (2002) ICSE
    • Hangal, S.1    Lam, M.S.2
  • 12
    • 0026154832 scopus 로고
    • The use of background knowledge in decision tree induction
    • M. Nunez. The use of background knowledge in decision tree induction. In Machine Learning, 1991.
    • (1991) Machine Learning
    • Nunez, M.1
  • 14
    • 0000865580 scopus 로고
    • Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm
    • P. Turney. Cost-sensitive classification: Empirical evaluation of a hybrid genetic decision tree induction algorithm. In Journal of artificial intelligence research, 1995.
    • (1995) Journal of Artificial Intelligence Research
    • Turney, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.