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Volumn , Issue , 2005, Pages 4-7

Privacy-preserving frequent pattern mining across private databases

Author keywords

[No Author keywords available]

Indexed keywords

DATA ACQUISITION; DATABASE SYSTEMS; PATTERN RECOGNITION; PROBLEM SOLVING;

EID: 34548573331     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDM.2005.122     Document Type: Conference Paper
Times cited : (15)

References (7)
  • 1
    • 34548545968 scopus 로고    scopus 로고
    • List of device bandwidth. In Wikipedia, http://eii.wikipedia.org/ wiki/List_of_device_bandwidths.
    • List of device bandwidth). In Wikipedia, http://eii.wikipedia.org/ wiki/List_of_device_bandwidths.
  • 3
    • 84976793960 scopus 로고
    • Using semi-joins to solve relational queries
    • P.A. Bernstein and D. W. Chin. Using semi-joins to solve relational queries. In Journal of the ACM, pages 25-40, 1981.
    • (1981) Journal of the ACM , pp. 25-40
    • Bernstein, P.A.1    Chin, D.W.2
  • 4
    • 12244293654 scopus 로고    scopus 로고
    • k-ttp: A new privacy model for large-scale distributed environments
    • B. Gilburd, A. Schuster, and R. Wolff. k-ttp: A new privacy model for large-scale distributed environments. In SIGKDD, 2004.
    • (2004) SIGKDD
    • Gilburd, B.1    Schuster, A.2    Wolff, R.3
  • 7
    • 0242709355 scopus 로고    scopus 로고
    • Privacy preserving association rule mining in vertically partitioned data
    • J. Vaidya and C. Clifton. Privacy preserving association rule mining in vertically partitioned data. In SIGKDD, 2002.
    • (2002) SIGKDD
    • Vaidya, J.1    Clifton, C.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.