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Volumn 30, Issue 3, 2007, Pages 1216-1227

Privacy-preserving collaborative association rule mining

Author keywords

Association rule mining; Privacy; Secure multi party computation; Security

Indexed keywords

ASSOCIATION RULES; COMPUTER SUPPORTED COOPERATIVE WORK; DATA STRUCTURES; DISTRIBUTED DATABASE SYSTEMS; ELECTRONIC DATA INTERCHANGE; NETWORK PROTOCOLS; PUBLIC KEY CRYPTOGRAPHY; SECURITY OF DATA;

EID: 33947706215     PISSN: 10848045     EISSN: 10958592     Source Type: Journal    
DOI: 10.1016/j.jnca.2006.04.010     Document Type: Article
Times cited : (44)

References (13)
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  • 2
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    • Agrawal R, Imielinski T, Swami A. Mining association rules between sets of items in large databases. In: Buneman P, Jajodia S, editors. Proceedings of ACM SIGMOD conference on management of data. Washington, DC, 1993, p. 207-16.
  • 3
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  • 4
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    • Dwork C, Nissim K. Privacy-preserving datamining on vertically parti-tioned databases. In: Proceedings of the 24th international conference on cryptology, 15-19 August 2004, Santa Barbara, CA, USA. p. 528-544.
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    • Goldreich O. Secure multi-party computation (working draft). 1998, http://www.wisdom.weizmann.ac.il/home/oded/public_html/foc.html
  • 6
    • 4544361334 scopus 로고    scopus 로고
    • Kantarcioglu M, Clifton C. Privacy preserving data mining of association rules on horizontally partitioned data. In: Transactions on knowledge and data engineering. vol. 16, No. 9, Los Alamitos, CA: IEEE Computer Society Press; 2004. p. 1026-37.
  • 7
    • 84974555530 scopus 로고    scopus 로고
    • Lindell Y, Pinkas B. Privacy preserving data mining. In: Advances in cryptology-crypto2000. Lecture Notes in Computer Science, vol 1880. Berlin: Springer; 2000.
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    • Luby M. Pseudorandomness and cryptographic applications, Princeton, NJ: Princeton University Press; January 1996.
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    • Vaidya J, Clifton CW. Privacy preserving association rule mining in vertically partitioned data. In: Proceedings of the eighth ACM SIGKDD international conference on knowledge discovery and data mining, 23-26, July 2002, Ed-monton, Alberta, Canada.
  • 12
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    • Wright R, Yang Z. Privacy-preserving bayesian network structure com-putation on distributed heterogeneous data. In: Proceedings of the l0th ACM SIGKDD international conference on knowledge discovery and data mining (KDD), 2004.
  • 13
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    • Yao AC. Protocols for secure computations. In: Proceedings of the 23rd annual IEEE symposium on foundations of computer science, 1982.


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.