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Volumn , Issue , 2008, Pages 3853-3859

Software quality modeling: The impact of class noise on the random forest classifier

Author keywords

[No Author keywords available]

Indexed keywords

CLASSIFIERS; LEARNING SYSTEMS; RANDOM PROCESSES; SOFTWARE ENGINEERING;

EID: 55749087119     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/CEC.2008.4631321     Document Type: Conference Paper
Times cited : (37)

References (20)
  • 1
    • 48649097096 scopus 로고    scopus 로고
    • Fraud defection for online retail using random forests
    • Technical report. Stanford University
    • J. Altendrof, P. Brende, and L. Lessard. Fraud defection for online retail using random forests. Technical report. Stanford University. 2005.
    • (2005)
    • Altendrof, J.1    Brende, P.2    Lessard, L.3
  • 2
    • 48649085439 scopus 로고    scopus 로고
    • Ensembling classifiers - an application to image data classification from cherenkov telescope experiment
    • P. Boinee, A. Angelis, and G. Foresti. Ensembling classifiers - an application to image data classification from cherenkov telescope experiment. 1EC (Prague), pages 394-398, 2005.
    • (2005) 1EC (Prague) , pp. 394-398
    • Boinee, P.1    Angelis, A.2    Foresti, G.3
  • 3
    • 0035478854 scopus 로고    scopus 로고
    • Random forests
    • L. Breiman. Random forests. Machine Learning, 45(1):5-32, 2001.
    • (2001) Machine Learning , vol.45 , Issue.1 , pp. 5-32
    • Breiman, L.1
  • 6
    • 24144464528 scopus 로고    scopus 로고
    • Good practice in retail credit scorecard assessment
    • D. J. Hand. Good practice in retail credit scorecard assessment. Journal of the Operational Research Society, 56:1109-1117, 2005,
    • (2005) Journal of the Operational Research Society , vol.56 , pp. 1109-1117
    • Hand, D.J.1
  • 9
    • 3543063465 scopus 로고    scopus 로고
    • Comparative assessment of software quality classification techniques: An empirical case study
    • T. M. Khoshgoftaar and N, Seliya. Comparative assessment of software quality classification techniques: An empirical case study. Empirical Software Engineering Journal, 9(2):229-257, 2004.
    • (2004) Empirical Software Engineering Journal , vol.9 , Issue.2 , pp. 229-257
    • Khoshgoftaar, T.M.1    Seliya, N.2
  • 12
    • 34548277784 scopus 로고    scopus 로고
    • Ph.D. Dissertation, College of Engineering and Mineral Resources. West Virginia University, Morgantown, WV USA, Advised by B. Cukic and E. Harner
    • Y. Ma. An empirical investigation of tree ensembles in biometrics and bioinformatics research. Ph.D. Dissertation, College of Engineering and Mineral Resources. West Virginia University, Morgantown, WV USA, 2007. Advised by B. Cukic and E. Harner.
    • (2007) An empirical investigation of tree ensembles in biometrics and bioinformatics research
    • Ma, Y.1
  • 16
    • 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
  • 18
    • 51949098422 scopus 로고    scopus 로고
    • Ph.D. Dissertation, Department of Computer Science and Engineering, Florida Atlantic University, Boca Raton, FL USA, May, Advised by T. M. 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. M. Khoshgoftaar.
    • (2007) Data quality in data mining and machine learning
    • Van Hulse, J.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.