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Volumn , Issue , 2008, Pages 73-78

Analyzing the impact of attribute noise on software quality classification

Author keywords

Attribute noise; Random forest; Software quality classification

Indexed keywords

ATTRIBUTE NOISE; CLASSIFICATION PERFORMANCE; CLASSIFIER PERFORMANCE; MEASUREMENT DATA; RANDOM FORESTS; SOFTWARE MEASUREMENT; SOFTWARE QUALITY; SOFTWARE QUALITY ESTIMATION;

EID: 77951893197     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (3)

References (18)
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  • 2
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  • 6
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    • Hand, D.J.1
  • 8
    • 0036891333 scopus 로고    scopus 로고
    • Using regression trees to classify fault-prone software modules
    • T. M. Khoshgoftaar, E. B. Allen, and J. Deng. Using regression trees to classify fault-prone software modules. IEEE Trans. Reliability, 51(4):455-462, 2002.
    • (2002) IEEE Trans. Reliability , vol.51 , Issue.4 , pp. 455-462
    • Khoshgoftaar, T.M.1    Allen, E.B.2    Deng, J.3
  • 12
    • 0035283313 scopus 로고    scopus 로고
    • Robust classification for imprecise environments
    • F. Provost and T. Fawcett. Robust classification for imprecise environments. Machine Learning, 42:203-231, 2001.
    • (2001) Machine Learning , vol.42 , pp. 203-231
    • Provost, F.1    Fawcett, T.2
  • 15
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    • Ph.D. Dissertation, Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL USA, May, Advised by T. Khoshgoftaar
    • J. Van Hulse. Data quality in data mining and machine learning. Ph.D. Dissertation, Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL USA, May 2007. Advised by T. Khoshgoftaar.
    • (2007) Data Quality in Data Mining and Machine Learning
    • Van Hulse, J.1
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    • Learning when training data are costly: The effect of class distribution on tree induction
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    • Weiss, G.M.1    Provost, F.2
  • 18
    • 19544372918 scopus 로고    scopus 로고
    • Class noise vs. Attribute noise: A quantitative study of their impacts
    • X. Zhu and X. Wu. Class noise vs. attribute noise: A quantitative study of their impacts. Artificial Intelligence Review, 22:177-210, 2004.
    • (2004) Artificial Intelligence Review , vol.22 , pp. 177-210
    • Zhu, X.1    Wu, X.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.