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Volumn , Issue , 2003, Pages 211-218

Privacy-preserving distributed clustering using generative models

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EID: 78149334786     PISSN: 15504786     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper
Times cited : (170)

References (19)
  • 2
    • 0041783510 scopus 로고    scopus 로고
    • Privacy-preserving data mining
    • R Agrawal and R. Srikant. Privacy-preserving data mining. In ACM SIGMOD, pages 439-450, 2000.
    • (2000) ACM SIGMOD , pp. 439-450
    • Agrawal, R.1    Srikant, R.2
  • 3
    • 0035370926 scopus 로고    scopus 로고
    • Relative loss bounds for on-line density estimation with the exponential family of distributions
    • K. S. Azoury and M. K. Warmuth. Relative loss bounds for on-line density estimation with the exponential family of distributions. Machine Learning, 43(3):211-246, 2001.
    • (2001) Machine Learning , vol.43 , Issue.3 , pp. 211-246
    • Azoury, K.S.1    Warmuth, M.K.2
  • 4
    • 0030211964 scopus 로고    scopus 로고
    • Bagging predictors
    • L. Breiman. Bagging predictors. Machine Learning, 24(2):123-140, 1996.
    • (1996) Machine Learning , vol.24 , Issue.2 , pp. 123-140
    • Breiman, L.1
  • 7
    • 0343586025 scopus 로고    scopus 로고
    • A data-clustering algorithm on distributed memory multiprocessors
    • I. S. Dhillon and D. S. Modha. A data-clustering algorithm on distributed memory multiprocessors. In ACM SIGKDD, 1999.
    • (1999) ACM SIGKDD
    • Dhillon, I.S.1    Modha, D.S.2
  • 9
    • 0001859083 scopus 로고    scopus 로고
    • Initialization of iterative refinement clustering algorithms
    • U. M. Fayyad, C. Reina, and P. S. Bradley. Initialization of iterative refinement clustering algorithms. In ICML, pages 194-198, 1998.
    • (1998) ICML , pp. 194-198
    • Fayyad, U.M.1    Reina, C.2    Bradley, P.S.3
  • 10
    • 33845229615 scopus 로고    scopus 로고
    • Data clustering using evidence accumulation
    • 276-280
    • A. L. N. Fred and A. K. Jain. Data clustering using evidence accumulation. In ICPR, pages IV:276-280, 2002.
    • (2002) ICPR
    • Fred, A.L.N.1    Jain, A.K.2
  • 11
    • 2542613410 scopus 로고    scopus 로고
    • Scalable clustering methods for data mining
    • N. Ye, editor, Lawrence Erlbaum
    • J. Ghosh. Scalable clustering methods for data mining. In N. Ye, editor, Handbook of Data Mining, pages 247-277. Lawrence Erlbaum, 2003.
    • (2003) Handbook of Data Mining , pp. 247-277
    • Ghosh, J.1
  • 12
    • 84949523513 scopus 로고    scopus 로고
    • Collective, hierarchical clustering from distributed, heterogeneous data
    • M. Zaki and C. Ho, editors, Large-Scale Parallel KDD Systems, Springer-Verlag
    • E. Johnson and H. Kargupta. Collective, hierarchical clustering from distributed, heterogeneous data. In M. Zaki and C. Ho, editors, Large-Scale Parallel KDD Systems, volume 1759 of LNCS, pages 221-244. Springer-Verlag, 1999.
    • (1999) LNCS , vol.1759 , pp. 221-244
    • Johnson, E.1    Kargupta, H.2
  • 13
    • 84974555530 scopus 로고    scopus 로고
    • Privacy preserving data mining
    • Y. Lindell and B. Pinkas. Privacy preserving data mining. LNCS, 1880:36-77, 2000.
    • (2000) LNCS , vol.1880 , pp. 36-77
    • Lindell, Y.1    Pinkas, B.2
  • 15
    • 0033886806 scopus 로고    scopus 로고
    • Text classification from labeled and unlabeled documents using EM
    • K. Nigam, A. K. Mccallum, S. Thrun, and T. Mitchell. Text classification from labeled and unlabeled documents using EM. Machine Learning, 39(2/3):103-134, 2000. (Pubitemid 30594822)
    • (2000) Machine Learning , vol.39 , Issue.2 , pp. 103-134
    • Nigam, K.1    Mccallum, A.K.2    Thrun, S.3    Mitchell, T.4
  • 17
    • 34249826393 scopus 로고    scopus 로고
    • An evaluation of linearly combining density estimators via stacking
    • July
    • P. Smyth and D. Wolpert. An evaluation of linearly combining density estimators via stacking. Machine Learning, 36(1/2):53-89, July 1999.
    • (1999) Machine Learning , vol.36 , Issue.1-2 , pp. 53-89
    • Smyth, P.1    Wolpert, D.2
  • 18
    • 0041965980 scopus 로고    scopus 로고
    • Cluster ensembles - A knowledge reuse framework for combining partitionings
    • 583-617
    • A. Strehl and J. Ghosh. Cluster ensembles - a knowledge reuse framework for combining partitionings. JMLR, pages 3:583-617, 2002.
    • (2002) JMLR , pp. 3
    • Strehl, A.1    Ghosh, J.2
  • 19
    • 0345777519 scopus 로고    scopus 로고
    • Distributed cooperative Bayesian learning strategies
    • K. Yamanishi. Distributed cooperative Bayesian learning strategies. Information and Computation, 150:22-56, 1998.
    • (1998) Information and Computation , vol.150 , pp. 22-56
    • Yamanishi, K.1


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