메뉴 건너뛰기




Volumn 50, Issue , 2015, Pages 74-90

DP-Apriori: A differentially private frequent itemset mining algorithm based on transaction splitting

Author keywords

Apriori; Differential privacy; Frequent itemset mining; Transaction splitting

Indexed keywords

COMPUTER SCIENCE; SECURITY OF DATA;

EID: 84924345719     PISSN: 01674048     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.cose.2014.12.005     Document Type: Article
Times cited : (44)

References (22)
  • 1
    • 0002221136 scopus 로고
    • Fast algorithms for mining association rules in large databases
    • R. Agrawal, and R. Srikant Fast algorithms for mining association rules in large databases VLDB 1994 487 499
    • (1994) VLDB , pp. 487-499
    • Agrawal, R.1    Srikant, R.2
  • 3
    • 77956209107 scopus 로고    scopus 로고
    • Discovering frequent patterns in sensitive data
    • R. Bhaskar, S. Laxman, A. Smith, and A. Thakurta Discovering frequent patterns in sensitive data KDD 2010 503 512
    • (2010) KDD , pp. 503-512
    • Bhaskar, R.1    Laxman, S.2    Smith, A.3    Thakurta, A.4
  • 4
    • 84889607657 scopus 로고    scopus 로고
    • A two-phase algorithm for mining sequential patterns with differential privacy
    • L. Bonomi, and L. Xiong A two-phase algorithm for mining sequential patterns with differential privacy CIKM 2013 269 278
    • (2013) CIKM , pp. 269-278
    • Bonomi, L.1    Xiong, L.2
  • 5
    • 84861595370 scopus 로고    scopus 로고
    • Publishing set-valued data via differential privacy
    • R. Chen, N. Mohammed, B.C.M. Fung, B.C. Desai, and L. Xiong Publishing set-valued data via differential privacy PVLDB 4 11 2011 1087 1098
    • (2011) PVLDB , vol.4 , Issue.11 , pp. 1087-1098
    • Chen, R.1    Mohammed, N.2    Fung, B.C.M.3    Desai, B.C.4    Xiong, L.5
  • 6
    • 84866022540 scopus 로고    scopus 로고
    • Differentially private transit data publication: A case study on the montreal transportation system
    • R. Chen, B.C.M. Fung, B.C. Desai, and N.M. Sossou Differentially private transit data publication: a case study on the montreal transportation system KDD 2012 213 221
    • (2012) KDD , pp. 213-221
    • Chen, R.1    Fung, B.C.M.2    Desai, B.C.3    Sossou, N.M.4
  • 7
    • 84869393316 scopus 로고    scopus 로고
    • Differentially private sequential data publication via variable-length n-grams
    • R. Chen, G. Ács, and C. Castelluccia Differentially private sequential data publication via variable-length n-grams CCS 2012 638 649
    • (2012) CCS , pp. 638-649
    • Chen, R.1    Ács, G.2    Castelluccia, C.3
  • 8
    • 33746335051 scopus 로고    scopus 로고
    • Differential privacy
    • C. Dwork Differential privacy ICALP 2006 1 12
    • (2006) ICALP , pp. 1-12
    • Dwork, C.1
  • 9
    • 70349305273 scopus 로고    scopus 로고
    • Differential privacy: A survey of results
    • C. Dwork Differential privacy: a survey of results TAMC 2008 1 19
    • (2008) TAMC , pp. 1-19
    • 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 TCC 2006 265 284
    • (2006) TCC , pp. 265-284
    • Dwork, C.1    McSherry, F.2    Nissim, K.3    Smith, A.4
  • 12
    • 70350683770 scopus 로고    scopus 로고
    • Universally utility-maximizing privacy mechanisms
    • A. Ghosh, T. Roughgarden, and M. Sundararajan Universally utility-maximizing privacy mechanisms STOC 2009 351 360
    • (2009) STOC , pp. 351-360
    • Ghosh, A.1    Roughgarden, T.2    Sundararajan, M.3
  • 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 SIGMOD conference; 2000 1 12
    • SIGMOD Conference; 2000 , pp. 1-12
    • Han, J.1    Pei, J.2    Yin, Y.3
  • 14
    • 84872862536 scopus 로고    scopus 로고
    • Privbasis: Frequent itemset mining with differential privacy
    • N. Li, W.H. Qardaji, D. Su, and J. Cao Privbasis: frequent itemset mining with differential privacy PVLDB 5 11 2012 1340 1351
    • (2012) PVLDB , vol.5 , Issue.11 , pp. 1340-1351
    • Li, N.1    Qardaji, W.H.2    Su, D.3    Cao, J.4
  • 16
    • 46749128577 scopus 로고    scopus 로고
    • Mechanism design via differential privacy
    • F. McSherry, and K. Talwar Mechanism design via differential privacy FOCS 2007 94 103
    • (2007) FOCS , pp. 94-103
    • McSherry, F.1    Talwar, K.2
  • 17
    • 0029247508 scopus 로고
    • Finding k cuts within twice the optimal
    • H. Saran, and V.V. Vazirani Finding k cuts within twice the optimal SIAM J Comput 24 1 1995 101 108
    • (1995) SIAM J Comput , vol.24 , Issue.1 , pp. 101-108
    • Saran, H.1    Vazirani, V.V.2
  • 18
    • 84989250474 scopus 로고    scopus 로고
    • Mining frequent graph patterns with differential privacy
    • E. Shen, and T. Yu Mining frequent graph patterns with differential privacy KDD 2013 545 553
    • (2013) KDD , pp. 545-553
    • Shen, E.1    Yu, T.2
  • 20
    • 84875100172 scopus 로고    scopus 로고
    • On differentially private frequent itemset mining
    • C. Zeng, J.F. Naughton, and J.-Y. Cai On differentially private frequent itemset mining PVLDB 6 1 2012 25 36
    • (2012) PVLDB , vol.6 , Issue.1 , pp. 25-36
    • Zeng, C.1    Naughton, J.F.2    Cai, J.-Y.3
  • 21
    • 84892849710 scopus 로고    scopus 로고
    • Differentially private set-valued data release against incremental updates
    • X. Zhang, X. Meng, and R. Chen Differentially private set-valued data release against incremental updates DASFAA 2013 392 406
    • (2013) DASFAA , pp. 392-406
    • Zhang, X.1    Meng, X.2    Chen, R.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 KDD 2001 401 406
    • (2001) KDD , pp. 401-406
    • Zheng, Z.1    Kohavi, R.2    Mason, L.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.