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Volumn 4058 LNCS, Issue , 2006, Pages 324-335

On optimizing the k-Ward micro-aggregation technique for secure statistical databases

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARKING; COMPUTATION THEORY; COMPUTER SCIENCE; DATA STRUCTURES; OPTIMIZATION;

EID: 33746349897     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11780656_27     Document Type: Conference Paper
Times cited : (7)

References (19)
  • 1
    • 84944178665 scopus 로고
    • Hierarchical grouping to optimize an objective function
    • Ward, J.H.: Hierarchical grouping to optimize an objective function. J. American Statistical Association 58 (1963) 236-245
    • (1963) J. American Statistical Association , vol.58 , pp. 236-245
    • Ward, J.H.1
  • 3
    • 0024914229 scopus 로고
    • Security-control methods for statistical databases: A comparative study
    • Adam, N.R., Wortmann, J.C.: Security-control methods for statistical databases: A comparative study. ACM Computing Surveys 21 (1989) 515-556
    • (1989) ACM Computing Surveys , vol.21 , pp. 515-556
    • Adam, N.R.1    Wortmann, J.C.2
  • 4
    • 0011648787 scopus 로고    scopus 로고
    • Estimation of variance loss following microaggregation by the individual ranking method
    • Luxembourg: Office for Official Publications of the Eur. Comm.
    • Baeyens, Y., Defays, D.: Estimation of variance loss following microaggregation by the individual ranking method. In: Proceedings of Statistical Data Protection'98, Luxembourg: Office for Official Publications of the Eur. Comm. (1999) 101-108
    • (1999) Proceedings of Statistical Data Protection'98 , pp. 101-108
    • Baeyens, Y.1    Defays, D.2
  • 6
    • 0002461948 scopus 로고    scopus 로고
    • A method for data-oriented multivariate microaggregation
    • Luxembourg: Office for Official Publications of the European Communities
    • Mateo-Sanz, J.M., Domingo-Ferrer, J.: A method for data-oriented multivariate microaggregation. In: Proceedings of Statistical Data Protection'98, Luxembourg: Office for Official Publications of the European Communities (1999) 89-99
    • (1999) Proceedings of Statistical Data Protection'98 , pp. 89-99
    • Mateo-Sanz, J.M.1    Domingo-Ferrer, J.2
  • 7
    • 0041848377 scopus 로고    scopus 로고
    • A polynomial algorithm for univariate optimal microaggregation
    • Hansen, S.L., Mukherjee, S.: A polynomial algorithm for univariate optimal microaggregation. IEEE Trans. on Know, and Data Eng. 15 (2003) 1043-1044
    • (2003) IEEE Trans. on Know, and Data Eng. , vol.15 , pp. 1043-1044
    • Hansen, S.L.1    Mukherjee, S.2
  • 8
    • 22944452807 scopus 로고    scopus 로고
    • Minimum spanning tree partitioning algorithm for inicroaggregation
    • Laszlo, M., Mukherjee, S.: Minimum spanning tree partitioning algorithm for inicroaggregation. IEEE Trans. on Know, and Data Eng. 17 (2005) 902-911
    • (2005) IEEE Trans. on Know, and Data Eng. , vol.17 , pp. 902-911
    • Laszlo, M.1    Mukherjee, S.2
  • 9
    • 0011583643 scopus 로고    scopus 로고
    • A comparative study of microaggregation methods
    • Muteo-Sansi, J.M., Domingo-Ferrer, J.: A comparative study of microaggregation methods. Questiio 22 (1998) 511-526
    • (1998) Questiio , vol.22 , pp. 511-526
    • Muteo-Sansi, J.M.1    Domingo-Ferrer, J.2
  • 15
    • 0344210457 scopus 로고    scopus 로고
    • Resampling for statistical confidentiality in contingency tables
    • Domingo-Ferrer, J., Mateo-Sanz, J.M.: Resampling for statistical confidentiality in contingency tables. Comp. and Math, with App. 38 (1999) 13-32
    • (1999) Comp. and Math, with App. , vol.38 , pp. 13-32
    • Domingo-Ferrer, J.1    Mateo-Sanz, J.M.2
  • 17
    • 0001773546 scopus 로고
    • On the complexity of clustering problems
    • Hehn, R., Korte, B., Oettli, W., eds
    • Brucker, P.: On the complexity of clustering problems, In Hehn, R., Korte, B., Oettli, W., eds,: Optimization and Operations Research (1977) 45-54
    • (1977) Optimization and Operations Research , pp. 45-54
    • Brucker, P.1


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.