메뉴 건너뛰기




Volumn 2005, Issue , 2005, Pages 271-280

Ensemble imputation methods for missing software engineering data

Author keywords

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

Indexed keywords

COMPUTER SOFTWARE; DATA ACQUISITION; DATABASE SYSTEMS; LEARNING SYSTEMS; TREES (MATHEMATICS);

EID: 33749051840     PISSN: 15301435     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/METRICS.2005.21     Document Type: Conference Paper
Times cited : (14)

References (29)
  • 1
    • 0032645080 scopus 로고    scopus 로고
    • An empirical comparison of voting classification algorithms: Bagging, boosting and variants
    • Bauer, E., and Kohavi, R. (1999). An empirical comparison of voting classification algorithms: Bagging, boosting and variants. Machine Learning, 36, 1/2, 105-139.
    • (1999) Machine Learning , vol.36 , Issue.1-2 , pp. 105-139
    • Bauer, E.1    Kohavi, R.2
  • 2
    • 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
    • 0026944407 scopus 로고
    • A pattern recognition approach to software engineering data analysis
    • Briand, L., Basili, V., and Thomas, W. (1992). A pattern recognition approach to software engineering data analysis. IEEE Transactions on Software Engineering, 18 (11), 931-942.
    • (1992) IEEE Transactions on Software Engineering , vol.18 , Issue.11 , pp. 931-942
    • Briand, L.1    Basili, V.2    Thomas, W.3
  • 8
    • 84993661659 scopus 로고    scopus 로고
    • M-tree: An efficient access method for similarity search in metric spaces
    • Ciaccia, P., Patella, M., and Zezula, P. (1997). M-tree: An Efficient Access Method for Similarity Search in Metric Spaces. In VLDB '97, 426-435.
    • (1997) VLDB '97 , pp. 426-435
    • Ciaccia, P.1    Patella, M.2    Zezula, P.3
  • 10
    • 0034250160 scopus 로고    scopus 로고
    • An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
    • Dietterich, T. (2000). An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization. Machine Learning, 40 (2), 139-158.
    • (2000) Machine Learning , vol.40 , Issue.2 , pp. 139-158
    • Dietterich, T.1
  • 12
    • 0033890902 scopus 로고    scopus 로고
    • Validating the ISO/IEC 15504 measures of software development process capability
    • El-Emam, K. and Birk, A. Validating the ISO/IEC 15504 Measures of Software Development Process Capability. Journal of Systems and Software, 51 (2), 119-149.
    • Journal of Systems and Software , vol.51 , Issue.2 , pp. 119-149
    • El-Emam, K.1    Birk, A.2
  • 14
    • 0033346610 scopus 로고    scopus 로고
    • A critique of software defect prediction models
    • Fenton, N. and Neil, M. (1999). A critique of software defect prediction models. IEEE Transactions on Software Engineering, 25 (5), 675-689.
    • (1999) IEEE Transactions on Software Engineering , vol.25 , Issue.5 , pp. 675-689
    • Fenton, N.1    Neil, M.2
  • 19
    • 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
  • 21
    • 0035506257 scopus 로고    scopus 로고
    • Analyzing data sets with missing data: An empirical evaluation of imputation methods and likelihood-based methods
    • Myrtveit, I., Stensrud, E., and Olsson, U. (2001). Analyzing Data Sets with Missing Data: An Empirical Evaluation of Imputation Methods and Likelihood-Based Methods. IEEE Transactions on Software Engineering, 27 (11), 1999-1013.
    • (2001) IEEE Transactions on Software Engineering , vol.27 , Issue.11 , pp. 1999-11013
    • Myrtveit, I.1    Stensrud, E.2    Olsson, U.3
  • 25
    • 0032219074 scopus 로고    scopus 로고
    • Multiple imputation for multivariate missing data problems: A data analyst's perspective
    • Schafer, J.L. and Olsen, M.K. (1998). Multiple Imputation for multivariate missing data problems: a data analyst's perspective. Multivariate Behavioral Research, 33 (4): 545-571.
    • (1998) Multivariate Behavioral Research , vol.33 , Issue.4 , pp. 545-571
    • Schafer, J.L.1    Olsen, M.K.2
  • 29
    • 14844336797 scopus 로고    scopus 로고
    • A short note on safest default missingness mechanism assumptions
    • accepted for publication in 2004
    • Song, Q. and Shepperd, M. (2004). A Short Note on Safest Default Missingness Mechanism Assumptions. In Empirical Software Engineering. (accepted for publication in 2004).
    • (2004) Empirical Software Engineering
    • Song, Q.1    Shepperd, M.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.