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Volumn , Issue , 2007, Pages 630-637

Incomplete-case nearest neighbor imputation in software measurement data

Author keywords

[No Author keywords available]

Indexed keywords

COMPARATIVE STUDIES; IMPUTATION TECHNIQUES; INFORMATION RE-USE; INTERNATIONAL CONFERENCES; MISSING VALUES (GAPS); NEAREST NEIGHBOR (NN); SOFTWARE MEASUREMENTS;

EID: 47949104761     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IRI.2007.4296691     Document Type: Conference Paper
Times cited : (9)

References (16)
  • 1
    • 47949133777 scopus 로고    scopus 로고
    • P. D. Allison. Missing Data 07-136. Sage University Papers Series on Quantitative Applications in the Social Sciences, Thousan d Oaks, CA, 2000.
    • P. D. Allison. Missing Data 07-136. Sage University Papers Series on Quantitative Applications in the Social Sciences, Thousan d Oaks, CA, 2000.
  • 9
    • 0035506257 scopus 로고    scopus 로고
    • Analyzing data sets with missing data: An empirical evaluation of imputation methods and lik elihoodbased methods
    • November
    • I. Myrtveit, E. Stensrud, and U. Olsson. Analyzing data sets with missing data: An empirical evaluation of imputation methods and lik elihoodbased methods. IEEE Trans. on Software Engineering, 27(11):999-1013, November 2001.
    • (2001) IEEE Trans. on Software Engineering , vol.27 , Issue.11 , pp. 999-1013
    • Myrtveit, I.1    Stensrud, E.2    Olsson, U.3
  • 10
    • 0004282518 scopus 로고    scopus 로고
    • SAS Institute, SAS Institute Inc
    • SAS Institute. SAS/STAT Users Guide. SAS Institute Inc., 2004.
    • (2004) SAS/STAT Users Guide
  • 11
    • 17444371705 scopus 로고    scopus 로고
    • A short note on safest default missingness mechanism assumptions
    • Q. Song, M. J. Shepperd, and M. H. Cartwright. A short note on safest default missingness mechanism assumptions. Empirical Software Engineering, 10(2):235-243, 2005.
    • (2005) Empirical Software Engineering , vol.10 , Issue.2 , pp. 235-243
    • Song, Q.1    Shepperd, M.J.2    Cartwright, M.H.3
  • 16
    • 2142824230 scopus 로고    scopus 로고
    • Analyzing software measurement data with clustering techniques
    • March
    • S. Zhong, T. M. Khoshgoftaar, and N. Seliya. Analyzing software measurement data with clustering techniques. IEEE Intelligent Systems, pages 22-29, March 2004.
    • (2004) IEEE Intelligent Systems , pp. 22-29
    • Zhong, S.1    Khoshgoftaar, T.M.2    Seliya, N.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.