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Volumn 5463, Issue , 2009, Pages 456-470

Privacy-preserving clustering with high accuracy and low time complexity

Author keywords

[No Author keywords available]

Indexed keywords

CLUSTERING RESULTS; DATA PERTURBATION; LINEAR TIME COMPLEXITY; PERFORMANCE STUDY; PRIVACY PRESERVING; PROBLEM OF PRIVACY; REAL DATA SETS; SECURE MULTI-PARTY COMPUTATION; TIME COMPLEXITY; UCI MACHINE LEARNING REPOSITORY;

EID: 67650151258     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-642-00887-0_40     Document Type: Conference Paper
Times cited : (8)

References (19)
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    • Random projection in dimensionality reduction: Applications to image and text data
    • Bingham, E., Mannila, H.: Random Projection in Dimensionality Reduction: Applications to Image and Text Data. In: ACM SIGKDD (2001)
    • (2001) ACM SIGKDD
    • Bingham, E.1    Mannila, H.2
  • 6
    • 29844458622 scopus 로고    scopus 로고
    • Deriving private information from randomized data
    • Huang, Z., Du,W., Chen, B.: Deriving Private Information from Randomized Data. In: ACM SIGMOD (2005)
    • (2005) ACM SIGMOD
    • Huang, Z.1    Du, W.2    Chen, B.3
  • 8
    • 67650174714 scopus 로고    scopus 로고
    • Privacy-preserving distributed k-means clustering over arbitrarily partitioned data
    • Jagannathan, G., Wright, R.: Privacy-Preserving Distributed k-Means Clustering over Arbitrarily Partitioned Data. In: ACM KDD (2005)
    • (2005) ACM KDD
    • Jagannathan, G.1    Wright, R.2
  • 11
    • 31344447750 scopus 로고    scopus 로고
    • Random projection-based multiplicative data perturbation for privacy preserving distributed data mining
    • Liu, K., Kargupta, H.: Random Projection-Based Multiplicative Data Perturbation for Privacy Preserving Distributed Data Mining. IEEE TKDE 18(1) (2006)
    • (2006) IEEE TKDE , vol.18 , Issue.1
    • Liu, K.1    Kargupta, H.2
  • 13
    • 0020102027 scopus 로고
    • Least squares quantization in pcm
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    • (1982) IEEE Transactions on Information Theory , vol.IT-28 , Issue.2 , pp. 129-136
    • Lloyd, S.1
  • 14
    • 31844440880 scopus 로고    scopus 로고
    • Comparing clusterings - An axiomatic view
    • Meila, M.: Comparing Clusterings - An Axiomatic View. In: ICML (2005)
    • (2005) ICML
    • Meila, M.1
  • 18
    • 77952332120 scopus 로고    scopus 로고
    • Privacy preserving k-means clustering over vertically partitioned data
    • Vaidya, J., Clifton, C.: Privacy Preserving K-Means Clustering over Vertically Partitioned Data. In: ACM SIGKDD (2003)
    • (2003) ACM SIGKDD
    • Vaidya, J.1    Clifton, C.2
  • 19
    • 0022882770 scopus 로고
    • How to generate and exchange secrets
    • Yao, A.: How to Generate and Exchange Secrets. In: Proceedings of the 27th IEEE FOCS, pp. 162-167 (1986)
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* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.