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Volumn , Issue , 2005, Pages 115-125

On variable constraints in privacy preserving data mining

Author keywords

[No Author keywords available]

Indexed keywords

CONDENSATION; DATA MINING;

EID: 63449120127     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972757.11     Document Type: Conference Paper
Times cited : (18)

References (19)
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  • 3
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  • 5
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    • Benassi, P.1
  • 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, ACM KDD Conference, (2002).
    • (2002) ACM KDD Conference
    • Vaidya, J.1    Clifton, C.2
  • 9
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    • Special issue on internet privacy
    • Cranor L. F. (Ed.) Special Issue on Internet Privacy, Communications of the ACM, 42(2), (1999).
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    • Cranor, L.F.1
  • 10
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    • The Economist
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  • 11
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    • Data swapping: Balancing privacy against precision in mining for logic rules
    • Springer-Verlag, Lecture Notes in Computer Science 1676
    • V. Estivill-Castro, and L. Brankovic, Data Swapping: Balancing privacy against precision in mining for logic rules, Data Warehousing and Knowledge Discovery, Springer-Verlag, Lecture Notes in Computer Science 1676, (1999), pp. 389-398.
    • (1999) Data Warehousing and Knowledge Discovery , pp. 389-398
    • Estivill-Castro, V.1    Brankovic, L.2
  • 13
    • 85140527321 scopus 로고    scopus 로고
    • An efficient approach to clustering in large multimedia databases with noise
    • A. Hinneburg, and D. A. Keim, An Efficient Approach to Clustering in Large Multimedia Databases with Noise, ACM KDD Conference, (1998).
    • (1998) ACM KDD Conference
    • Hinneburg, A.1    Keim, D.A.2
  • 14
    • 0242625276 scopus 로고    scopus 로고
    • Transforming data to satisfy privacy constraints
    • V. S. Iyengar, Transforming Data To Satisfy Privacy Constraints, ACM KDD Conference, (2002).
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  • 15
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.