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Volumn 3, Issue 1, 2006, Pages 1-6

Privacy-preserving Bayesian network parameter learning

Author keywords

Bayesian network; Distributed heterogeneous databases; Post randomization; Privacy preserving data mining

Indexed keywords

DATA PRIVACY; DISTRIBUTED DATABASE SYSTEMS; PARAMETER ESTIMATION; PROBABILITY DISTRIBUTIONS; RANDOM PROCESSES; STATISTICAL METHODS;

EID: 30144443762     PISSN: 17900832     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article
Times cited : (4)

References (9)
  • 1
    • 0034827009 scopus 로고    scopus 로고
    • On the Design and Quantification of Privacy Preserving Data Mining Algorithm
    • SIGMOD
    • D. Agrawal and C. C. Aggarwal. On the Design and Quantification of Privacy Preserving Data Mining Algorithm, SIGMOD 2001.
    • (2001)
    • Agrawal, D.1    Aggarwal, C.C.2
  • 6
    • 30144441034 scopus 로고    scopus 로고
    • Privacy-Preserving Bayesian Network Learning Using Post Randomization
    • (in preparation)
    • J. Ma and K. Sivakumar, Privacy-Preserving Bayesian Network Learning Using Post Randomization, (in preparation), 2005.
    • (2005)
    • Ma, J.1    Sivakumar, K.2
  • 9
    • 12244255356 scopus 로고    scopus 로고
    • Privacy Preserving Bayesian Network Structure Computation on Distributed Heterogeneous Data
    • R. Wright and Z. Yang. Privacy Preserving Bayesian Network Structure Computation on Distributed Heterogeneous Data. Proceedings of the ACM SIGKDD, 2004.
    • (2004) Proceedings of the ACM SIGKDD
    • Wright, R.1    Yang, Z.2


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.