메뉴 건너뛰기




Volumn 2006, Issue , 2006, Pages 909-912

Ensemble of missing data techniques to improve software prediction accuracy

Author keywords

Decision trees; Ensemble; Incomplete data; Machine learning; Software prediction

Indexed keywords

ALGORITHMS; DATA ACQUISITION; DATA HANDLING; DECISION TREES; LEARNING SYSTEMS;

EID: 34247112428     PISSN: 02705257     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1134285.1134449     Document Type: Conference Paper
Times cited : (35)

References (21)
  • 1
    • 34247138796 scopus 로고
    • Computing incomplete repeated measures
    • Berk, K. (1987). "Computing incomplete repeated measures", Biometrics, 43, 269-291.
    • (1987) Biometrics , vol.43 , pp. 269-291
    • Berk, K.1
  • 3
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • Breiman, L. (1996). "Bagging predictors", Machine Learning, 26 (2), 123-140.
    • (1996) Machine Learning , vol.26 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 4
    • 0001326815 scopus 로고
    • Asymptotic comparison of missing data procedures for estimating factor loadings
    • Brown, C.H. (1983). "Asymptotic comparison of missing data procedures for estimating factor loadings", Psychometrics, 48, 269-291.
    • (1983) Psychometrics , vol.48 , pp. 269-291
    • Brown, C.H.1
  • 8
    • 0033890902 scopus 로고    scopus 로고
    • Validating the ISO/IEC 15504 Measures of Software Development Process Capability
    • El-Emam, K. and Birk, A. (1999). "Validating the ISO/IEC 15504 Measures of Software Development Process Capability", Journal of Syst. and Software, 51 (2), 119-149.
    • (1999) Journal of Syst. and Software , vol.51 , Issue.2 , pp. 119-149
    • El-Emam, K.1    Birk, A.2
  • 10
    • 0038507839 scopus 로고
    • Considerations and techniques for the analysis of NAEP data
    • Johnson, E.G. (1989). "Considerations and techniques for the analysis of NAEP data", Journal of Educational Statistics., 14, 303-334.
    • (1989) Journal of Educational Statistics , vol.14 , pp. 303-334
    • Johnson, E.G.1
  • 12
    • 0006897383 scopus 로고
    • The application of logical imputation to household measurement
    • Kaufman, C.J. (1988). "The application of logical imputation to household measurement", Journal of the Market Research Society, 30, 453-466.
    • (1988) Journal of the Market Research Society , vol.30 , pp. 453-466
    • Kaufman, C.J.1
  • 13
    • 0033225727 scopus 로고    scopus 로고
    • Imputation of Missing Data in Industrial Databases
    • Lakshminarayan, K., Harp, S.A., Samad, T. (1999). "Imputation of Missing Data in Industrial Databases", Applied Intelligence, 11, 259-275.
    • (1999) Applied Intelligence , vol.11 , pp. 259-275
    • Lakshminarayan, K.1    Harp, S.A.2    Samad, T.3
  • 15
    • 0035506257 scopus 로고    scopus 로고
    • Analyzing Data Sets with Missing Data: An Empirical Evaluation of Imputation Methods and Likelihood-Based Methods
    • Myrtveit, L., Stensrud, E., and Olsson, U. (2001). "Analyzing Data Sets with Missing Data: An Empirical Evaluation of Imputation Methods and Likelihood-Based Methods", IEEE Transaction on Software Engineering, 27 (11), 1999-1013.
    • (2001) IEEE Transaction on Software Engineering , vol.27 , Issue.11 , pp. 1999-1013
    • Myrtveit, L.1    Stensrud, E.2    Olsson, U.3
  • 19
    • 34247163613 scopus 로고    scopus 로고
    • Song, Q. and Shepperd, M. (2004). A Short Note on Safest Default Missingness Mechanism Assumptions, In Empirical Software Engineering, (accepted in 2004).
    • Song, Q. and Shepperd, M. (2004). "A Short Note on Safest Default Missingness Mechanism Assumptions", In Empirical Software Engineering, (accepted in 2004).


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.