메뉴 건너뛰기




Volumn 1, Issue , 2010, Pages 153-158

A multi-objective scheme to hide sequential patterns

Author keywords

Knowledge hiding; Privacy preserving data mining; Sequential pattern hiding

Indexed keywords

HIDDEN KNOWLEDGE; MULTI OBJECTIVE; PRIVACY PRESERVING DATA MINING; SEQUENCE MINING; SEQUENTIAL PATTERNS;

EID: 77952608891     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICCAE.2010.5451977     Document Type: Conference Paper
Times cited : (8)

References (16)
  • 4
    • 0344990562 scopus 로고    scopus 로고
    • Using Unknowns to Prevent Discovery of Association Rules
    • Y. Saygin, V. S. Verykios, and C. Clifton, "Using Unknowns to Prevent Discovery of Association Rules," ACM SIGMOD Record, vol. 30, issue 4, 2001, pp. 45-54.
    • (2001) ACM SIGMOD Record , vol.30 , Issue.4 , pp. 45-54
    • Saygin, Y.1    Verykios, V.S.2    Clifton, C.3
  • 9
    • 34548591826 scopus 로고    scopus 로고
    • A Border-based Approach for Hiding Sensitive Frequent Itemsets
    • IEEE Computer Society, doi: 10.1109/ICDM.2005.2
    • X. Sun and P. S. Yu, "A Border-based Approach for Hiding Sensitive Frequent Itemsets," Proc. 5th IEEE International Conference on Data Mining (ICDM'05), IEEE Computer Society, 2005, pp. 426-433, doi: 10.1109/ICDM.2005.2.
    • (2005) Proc. 5th IEEE International Conference on Data Mining (ICDM'05) , pp. 426-433
    • Sun, X.1    Yu, P.S.2
  • 10
    • 39749135113 scopus 로고    scopus 로고
    • A Max Min Approach for Hiding Frequent Itemsets
    • Elsevier Science Publishers B. V., doi: 10.1016/j.datak.2007.06.012
    • G. V. Moustakides and V. S. Verykios, "A Max Min Approach for Hiding Frequent Itemsets," Data & Knowledge Engineering, Elsevier Science Publishers B. V., vol. 65, issue 1, 2008, pp. 75-89, doi: 10.1016/j.datak.2007. 06.012.
    • (2008) Data & Knowledge Engineering , vol.65 , Issue.1 , pp. 75-89
    • Moustakides, G.V.1    Verykios, V.S.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.