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Volumn , Issue , 2006, Pages 121-128

Privacy preserving data mining algorithms without the use of secure computation or perturbation

Author keywords

Association rules; Distributed data mining; Privacy; Secure computation

Indexed keywords

ALGORITHMS; ASSOCIATION RULES; COMPUTATION THEORY; DATA PRIVACY; DATABASE SYSTEMS; PERTURBATION TECHNIQUES;

EID: 39749193934     PISSN: 10988068     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/IDEAS.2006.37     Document Type: Conference Paper
Times cited : (14)

References (24)
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    • Privacy-Preserving Distributed Mining of Association Rules on Horizontally Partitioned Data
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    • H. Kargupta, S. Datta, Q.Wang, and K. Sivakumar. On the privacy preserving properties of random data perturbation techniques. In Proc. of ICDM'03, page 99, Washington, DC, USA, 2003. IEEE Computer Society.
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.