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Volumn 4081 LNCS, Issue , 2006, Pages 405-416

Achieving k-anonymity by clustering in attribute hierarchical structures

Author keywords

[No Author keywords available]

Indexed keywords

CONSTRAINT THEORY; DATA ACQUISITION; DATA RECORDING; HIERARCHICAL SYSTEMS; NUMERICAL METHODS; RISK ASSESSMENT;

EID: 33751359260     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: None     Document Type: Conference Paper
Times cited : (73)

References (24)
  • 9
    • 26944448516 scopus 로고    scopus 로고
    • Ordinal, continuous and heterogeneous k-anonymity through microaggregation
    • J. Domingo-Ferrer and V. Torra. Ordinal, continuous and heterogeneous k-anonymity through microaggregation. Data Mining and Knowledge Discovery, 11(2):195-212, 2005.
    • (2005) Data Mining and Knowledge Discovery , vol.11 , Issue.2 , pp. 195-212
    • Domingo-Ferrer, J.1    Torra, V.2
  • 15
    • 33746437508 scopus 로고    scopus 로고
    • Privacy preserving data mining
    • Y. Lindell and B. Pinkas. Privacy preserving data mining. Journal of Cryptology, 15(3):177-206, 2002.
    • (2002) Journal of Cryptology , vol.15 , Issue.3 , pp. 177-206
    • Lindell, Y.1    Pinkas, B.2
  • 19


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.