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Volumn 2005, Issue , 2005, Pages

Improved privacy-preserving Bayesian network parameter learning on vertically partitioned data

Author keywords

[No Author keywords available]

Indexed keywords

BAYESIAN NETWORKS; DATA MINING; DATA STRUCTURES; DISTRIBUTED DATABASE SYSTEMS; LEARNING SYSTEMS; PARAMETER ESTIMATION;

EID: 33947181995     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDE.2005.230     Document Type: Conference Paper
Times cited : (19)

References (28)
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    • M. Freedman, K. Nissim, and B. Pinkas. Efficient private matching and set inter-section. In Advances in Cryptology - EUROCRYPT 2004, LNCS 3027, pages 1-19. Springer-Verlag, 2004.
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    • Freedman, M.1    Nissim, K.2    Pinkas, B.3
  • 10
    • 33847254994 scopus 로고    scopus 로고
    • On private scalar product computation for privacy-preserving data mining
    • Proceedings of the Seventh Annual International Conference in Information Security and Cryptology, Springer-Verlag, to appear
    • Bart Goethals, Sven Laur, Helger Lipmaa, and Taneli Mielikäinen. On private scalar product computation for privacy-preserving data mining. In Proceedings of the Seventh Annual International Conference in Information Security and Cryptology, LNCS. Springer-Verlag, 2004. to appear.
    • (2004) LNCS
    • Goethals, B.1    Laur, S.2    Lipmaa, H.3    Mielikäinen, T.4
  • 13
    • 0003846041 scopus 로고
    • A tutorial on learning with Bayesian networks
    • Technical report, Microsoft Research, Redmond, Washington, Revised June 96
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    • (1995)
    • Heckerman, D.1
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    • Multiplicative noise, random projection, and privacy preserving data mining from distributed multi-party data
    • Technical Report TR-CS-03-24, Computer Science and Electrical Engineering Department, University of Maryland, Baltimore County
    • K. Liu, H. Kargupta, and J. Ryan. Multiplicative noise, random projection, and privacy preserving data mining from distributed multi-party data. Technical Report TR-CS-03-24, Computer Science and Electrical Engineering Department, University of Maryland, Baltimore County, 2003.
    • (2003)
    • Liu, K.1    Kargupta, H.2    Ryan, J.3
  • 18
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    • Privacy preserving data mining
    • Y. Lindell and B. Pinkas. Privacy preserving data mining. J. Cryptology, 15(3):177-206, 2002.
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    • Lindell, Y.1    Pinkas, B.2
  • 21
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    • Directive 95/46/EC of the European Parliament and of the Council of 24 October 1995 on the protection of individuals with regard to the processing of personal data and on the free movement of such data
    • European Parliament
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  • 22
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.