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Volumn 6, Issue 1, 2012, Pages 25-36

On differentially private frequent itemset mining

Author keywords

[No Author keywords available]

Indexed keywords

BENCHMARK DATABASE; EXPERIMENTAL COMPARISON; F-SCORE; FREQUENT ITEMSET MINING; ITEM SETS; ITEMSET MINING; RELATED WORKS;

EID: 84875100172     PISSN: None     EISSN: 21508097     Source Type: Journal    
DOI: 10.14778/2428536.2428539     Document Type: Article
Times cited : (103)

References (22)
  • 1
    • 84875100754 scopus 로고    scopus 로고
    • http://pages.cs.wisc.edu/~zeng/dfim.pdf.
  • 2
    • 0001882616 scopus 로고
    • Fast algorithms for mining association rules
    • R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In VLDB, 1994.
    • (1994) In VLDB
    • Agrawal, R.1    Srikant, R.2
  • 3
    • 84963644331 scopus 로고
    • Fast probabilistic algorithms for hamiltonian circuits and matchings
    • D. Angluin and L. G. Valiant. Fast probabilistic algorithms for hamiltonian circuits and matchings. In STOC, 1977.
    • (1977) In STOC
    • Angluin, D.1    Valiant, L.G.2
  • 7
    • 79956041471 scopus 로고    scopus 로고
    • ρ-uncertainty: Inference proof transaction anonymization
    • J. Cao, P. Karras, C. Raissi, and K.-L. Tan. ρ-uncertainty: Inference proof transaction anonymization. In VLDB, 2010.
    • (2010) In VLDB
    • Cao, J.1    Karras, P.2    Raissi, C.3    Tan, K.-L.4
  • 9
    • 50249086141 scopus 로고    scopus 로고
    • Differential privacy
    • C. Dwork. Differential privacy. In ICALP, 2006.
    • (2006) In ICALP
    • Dwork, C.1
  • 10
    • 33745556605 scopus 로고    scopus 로고
    • Calibrating noise to sensitivity in private data analysis
    • C. Dwork, F. Mcsherry, K. Nissim, and A. Smith. Calibrating noise to sensitivity in private data analysis. In TCS, 2006.
    • (2006) In TCS
    • Dwork, C.1    Mcsherry, F.2    Nissim, K.3    Smith, A.4
  • 13
    • 0039253846 scopus 로고    scopus 로고
    • Mining frequent patterns without candidate generation
    • J. Han, J. Pei, and Y. Yin. Mining frequent patterns without candidate generation. In SIGMOD, 2000.
    • (2000) In SIGMOD
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 14
    • 78049372159 scopus 로고    scopus 로고
    • Anonymization of set-valued data via top-down, local generalization
    • Y. He and J. F. Naughton. Anonymization of set-valued data via top-down, local generalization. VLDB, 2009.
    • (2009) VLDB
    • He, Y.1    Naughton, J.F.2
  • 15
    • 0002784345 scopus 로고    scopus 로고
    • Algorithms for association rule mining: a general survey and comparison
    • J. Hipp, U. G̈untzer, and G. Nakhaeizadeh. Algorithms for association rule mining: a general survey and comparison. SIGKDD Explor. Newsl., 2000.
    • (2000) SIGKDD Explor. Newsl
    • Hipp, J.1    G̈untzer, U.2    Nakhaeizadeh, G.3
  • 16
    • 84872862536 scopus 로고    scopus 로고
    • Privbasis: Frequent itemsets mining with differential privacy
    • N. Li, W. Qardaji, D. Su, and J. Cao. Privbasis: Frequent itemsets mining with differential privacy. In VLDB, 2012.
    • (2012) In VLDB
    • Li, N.1    Qardaji, W.2    Su, D.3    Cao, J.4
  • 18
    • 77954711910 scopus 로고    scopus 로고
    • Differentially private aggregation of distributed time-series with transformation and encryption
    • V. Rastogi and S. Nath. Differentially private aggregation of distributed time-series with transformation and encryption. In SIGMOD, 2010.
    • (2010) In SIGMOD
    • Rastogi, V.1    Nath, S.2
  • 19
    • 84859177489 scopus 로고    scopus 로고
    • Privacy-preserving anonymization of set-valued data
    • M. Terrovitis, N. Mamoulis, and P. Kalnis. Privacy-preserving anonymization of set-valued data. VLDB, 2008.
    • (2008) VLDB
    • Terrovitis, M.1    Mamoulis, N.2    Kalnis, P.3
  • 21
    • 84875105014 scopus 로고    scopus 로고
    • Differential privacy via wavelet transforms
    • X. Xiao, G. Wang, and J. Gehrke. Differential privacy via wavelet transforms. In ICDE, 2009.
    • (2009) In ICDE
    • Xiao, X.1    Wang, G.2    Gehrke, J.3
  • 22
    • 0035788918 scopus 로고    scopus 로고
    • Real world performance of association rule algorithms
    • Z. Zheng, R. Kohavi, and L. Mason. Real world performance of association rule algorithms. In KDD '01, 2001.
    • (2001) In KDD '01
    • Zheng, Z.1    Kohavi, R.2    Mason, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.