메뉴 건너뛰기




Volumn 6, Issue 3, 2010, Pages 1-10

Estimating semi-parametric missing values with iterative imputation

Author keywords

Algorithms; Dataset distribution; Iterative imputation method; Missing values; Semi parametric iterative imputation algorithm (SIIA)

Indexed keywords

AMOUNT OF INFORMATION; DATA SETS; EFFICIENT METHOD; EXISTING METHOD; IMPUTATION ALGORITHM; IMPUTATION METHODS; IMPUTATION TECHNIQUES; KERNEL REGRESSION; MISSING VALUES; NON-PARAMETRIC; PRIOR KNOWLEDGE; SEMIPARAMETRIC; TARGET VALUES;

EID: 77956295872     PISSN: 15483924     EISSN: 15483932     Source Type: Journal    
DOI: 10.4018/jdwm.2010070101     Document Type: Article
Times cited : (5)

References (16)
  • 2
    • 13244257574 scopus 로고    scopus 로고
    • A non-parametric Em-style algorithm for imputing missing value
    • January
    • Caruana, R. (2001, January). A Non-parametric EM-style algorithm for Imputing Missing Value. Artificial Intelligence and Statistics.
    • (2001) Artificial Intelligence and Statistics
    • Caruana, R.1
  • 3
    • 0012921755 scopus 로고
    • Semi-parametric Estimates of the relation between weather and electricity sales
    • doi:10.2307/2289218
    • Engle, R. F. (1986). Semi-parametric Estimates of the relation between weather and electricity sales. Journal of the American Statistical Association, 81(394). doi:10.2307/2289218
    • (1986) Journal of the American Statistical Association , vol.81 , pp. 394
    • Engle, R.F.1
  • 6
    • 47349102423 scopus 로고    scopus 로고
    • Classification of imbalanced data with random sets and mean-variance filtering. [IJDWM]
    • Nikulin, V. (2008). Classification of imbalanced data with random sets and mean-variance filtering. [IJDWM]. International Journal of Data Warehousing and Mining, 4(2), 63-78.
    • (2008) International Journal of Data Warehousing and Mining , vol.4 , Issue.2 , pp. 63-78
    • Nikulin, V.1
  • 8
    • 47349124242 scopus 로고    scopus 로고
    • A methodology supporting the design and evaluating the final quality of data warehouses
    • Pighin, M., & Ieronutti, L. (2008). A methodology supporting the design and evaluating the final quality of data warehouses. International Journal of Data Warehousing and Mining, 4(3), 15-34.
    • (2008) International Journal of Data Warehousing and Mining , vol.4 , Issue.3 , pp. 15-34
    • Pighin, M.1    Ieronutti, L.2
  • 9
    • 34250704657 scopus 로고    scopus 로고
    • Semi-parametric optimization for missing data imputation
    • doi:10.1007/s10489-006-0032-0
    • Qin, Y. S. (2007). Semi-parametric optimization for missing data imputation. Applied Intelligence, 27(1), 79-88. doi:10.1007/s10489-006-0032-0
    • (2007) Applied Intelligence , vol.27 , Issue.1 , pp. 79-88
    • Qin, Y.S.1
  • 10
    • 77956291631 scopus 로고    scopus 로고
    • Combining KNN imputation and bootstrap calibrated empirical likelihood for incomplete data analysis. [DWM]
    • Qin, Y. S., Zhang, S. C., & Zhang, C. Q. (2010). Combining kNN Imputation and Bootstrap Calibrated Empirical Likelihood for Incomplete Data Analysis. [DWM]. International Journal of Data Warehousing and Mining, 6(2).
    • (2010) International Journal of Data Warehousing and Mining , vol.6 , Issue.2
    • Qin, Y.S.1    Zhang, S.C.2    Zhang, C.Q.3
  • 11
    • 0036049743 scopus 로고    scopus 로고
    • Empirical likelihood- based inference under imputation for missing response data
    • doi:10.1214/aos/1028674845
    • Wang, Q., & Rao, J. N. K. (2002). Empirical likelihood- based inference under imputation for missing response data. Annals of Statistics, 30, 896-924. doi:10.1214/aos/1028674845
    • (2002) Annals of Statistics , vol.30 , pp. 896-924
    • Wang, Q.1    Rao, J.N.K.2
  • 12
    • 70249119593 scopus 로고    scopus 로고
    • A hybrid method for high-utility itemsets mining in large high-dimensional data
    • Yu, D., Shao, S., & Luo, B. (2009). A hybrid method for high-utility itemsets mining in large high-dimensional data. International Journal of Data Warehousing and Mining, 5, 57-73.
    • (2009) International Journal of Data Warehousing and Mining , vol.5 , pp. 57-73
    • Yu, D.1    Shao, S.2    Luo, B.3
  • 13
    • 38149046554 scopus 로고    scopus 로고
    • Efficient imputation method for missing values
    • LNAI 4426
    • Zhang, C. Q., et al. (2007). Efficient Imputation Method for Missing Values. In Proceedings of PAKDD 2007 (LNAI 4426, pp. 1080-1087).
    • (2007) Proceedings of PAKDD 2007 , pp. 1080-1087
    • Zhang, C.Q.1
  • 14
    • 77955230230 scopus 로고    scopus 로고
    • Parimputation: From imputation and null-imputation to partially imputation
    • Zhang, S. C. (2008). Parimputation: From imputation and null-imputation to partially imputation. IEEE Intelligent Informatics Bulletin, 9(1), 32-38.
    • (2008) IEEE Intelligent Informatics Bulletin , vol.9 , Issue.1 , pp. 32-38
    • Zhang, S.C.1
  • 16
    • 56349110355 scopus 로고    scopus 로고
    • POP algorithm: Kernel-based imputation to treat missing values in knowledge discovery from databases
    • doi:10.1016/j. eswa.2008.01.059
    • Zhang, S. C. (2009). POP Algorithm: Kernel-Based Imputation to Treat Missing Values in Knowledge Discovery from Databases. Expert Systems with Applications, 36, 2794-2804. doi:10.1016/j. eswa.2008.01.059
    • (2009) Expert Systems with Applications , vol.36 , pp. 2794-2804
    • Zhang, S.C.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.