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Volumn , Issue , 2012, Pages 360-369

Injecting discrimination and privacy awareness into pattern discovery

Author keywords

Anti discrimination; Data mining; Frequent pattern mining; Privacy

Indexed keywords

ANTI-DISCRIMINATION; FREQUENT PATTERN MINING; HUMAN BEHAVIORS; HUMAN DATA; PATTERN DISCOVERY; PATTERN DISTORTION; PRIVACY INTRUSION; SANITIZATION; SENSING TECHNOLOGY;

EID: 84873179276     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICDMW.2012.51     Document Type: Conference Paper
Times cited : (16)

References (28)
  • 2
    • 84873145677 scopus 로고    scopus 로고
    • (a) Race Equality Directive, 2000; (b) Employment Equality Directive, 2000; (c) Equal treatment of persons
    • European Union Legislation, (a) Race Equality Directive, 2000; (b) Employment Equality Directive, 2000; (c) Equal treatment of persons, 2009.
    • (2009) European Union Legislation
  • 5
    • 0041783510 scopus 로고    scopus 로고
    • Privacy preserving data mining
    • ACM
    • R. Agrawal and R. Srikant. Privacy preserving data mining. In SIGMOD 2000, pp. 439-450, ACM, 2000.
    • (2000) SIGMOD 2000 , pp. 439-450
    • Agrawal, R.1    Srikant, R.2
  • 7
    • 84873169796 scopus 로고    scopus 로고
    • (a) Equal Opportunity Act - Victoria State, (b) Anti-Discrimination Act - Queens- land State
    • Australian Legislation. (a) Equal Opportunity Act - Victoria State, (b) Anti-Discrimination Act - Queens- land State, 2008. http://www.austlii.edu.au.
    • (2008) Australian Legislation
  • 8
    • 77958063401 scopus 로고    scopus 로고
    • Three naive Bayes approaches for discrimination-free classification
    • T. Calders and S. Verwer. Three naive Bayes approaches for discrimination-free classification. DMKD Journal, 21(2):277-292, 2010.
    • (2010) DMKD Journal , vol.21 , Issue.2 , pp. 277-292
    • Calders, T.1    Verwer, S.2
  • 10
    • 45749151381 scopus 로고    scopus 로고
    • Providing k-anonymity in data mining
    • A. Friedman, R. Wolff, A. Schuster: Providing k-anonymity in data mining. VLDB Journal.,17(4): 789-804 (2008)
    • (2008) VLDB Journal. , vol.17 , Issue.4 , pp. 789-804
    • Friedman, A.1    Wolff, R.2    Schuster, A.3
  • 12
    • 84873187181 scopus 로고    scopus 로고
    • A methodology for direct and indirect discrimination prevention in data mining
    • 22 March, IEEE computer Society Digital Library
    • S. Hajian and J. Domingo-Ferrer. A methodology for direct and indirect discrimination prevention in data mining. IEEE TKDE, 22 March 2012. IEEE computer Society Digital Library.
    • (2012) IEEE TKDE
    • Hajian, S.1    Domingo-Ferrer, J.2
  • 14
    • 84873187566 scopus 로고    scopus 로고
    • Classification without discrimination
    • F. Kamiran and T. Calders. Classification without discrimination. In IEEE IC4 2009, 2009.
    • (2009) IEEE IC4 2009
    • Kamiran, F.1    Calders, T.2
  • 16
    • 79951740264 scopus 로고    scopus 로고
    • Discrimination aware decision tree learning
    • IEEE
    • F. Kamiran, T. Calders and M. Pechenizkiy. Discrimination aware decision tree learning. In ICDM 2010, pp. 869-874. IEEE, 2010.
    • (2010) ICDM 2010 , pp. 869-874
    • Kamiran, F.1    Calders, T.2    Pechenizkiy, M.3
  • 17
    • 12244296735 scopus 로고    scopus 로고
    • When do data mining results violate privacy?
    • ACM
    • M. Kantarcioglu, J. Jin and C. Clifton. When do data mining results violate privacy? In KDD 2004, pp. 599-604. ACM, 2004.
    • (2004) KDD 2004 , pp. 599-604
    • Kantarcioglu, M.1    Jin, J.2    Clifton, C.3
  • 18
    • 34548805858 scopus 로고    scopus 로고
    • T-closeness: Privacy beyond k-anonymity and l-diversity
    • IEEE
    • N. Li, T. Li and S. Venkatasubramanian,. T-closeness: privacy beyond k-anonymity and l-diversity. In ICDE 2007, pp. 106-115. IEEE, 2007.
    • (2007) ICDE 2007 , pp. 106-115
    • Li, N.1    Li, T.2    Venkatasubramanian, S.3
  • 20
  • 21
    • 65449163899 scopus 로고    scopus 로고
    • Discrimination-aware data mining
    • ACM
    • D. Pedreschi, S. Ruggieri and F. Turini. Discrimination-aware data mining. In KDD 2008, pp. 560-568. ACM, 2008.
    • (2008) KDD 2008 , pp. 560-568
    • Pedreschi, D.1    Ruggieri, S.2    Turini, F.3
  • 22
    • 72749094725 scopus 로고    scopus 로고
    • Measuring discrimination in socially-sensitive decision records
    • SIAM
    • D. Pedreschi, S. Ruggieri and F. Turini. Measuring discrimination in socially-sensitive decision records. In SDM 2009, pp. 581-592. SIAM, 2009.
    • (2009) SDM 2009 , pp. 581-592
    • Pedreschi, D.1    Ruggieri, S.2    Turini, F.3
  • 23
    • 77953188096 scopus 로고    scopus 로고
    • Data mining for discrimination discovery
    • Article 9, ACM, New York
    • S. Ruggieri, D. Pedreschi and F. Turini. Data mining for discrimination discovery. ACM TKDD, 4(2) Article 9, ACM, New York, 2010.
    • (2010) ACM TKDD , vol.4 , Issue.2
    • Ruggieri, S.1    Pedreschi, D.2    Turini, F.3
  • 24
    • 0035517699 scopus 로고    scopus 로고
    • Protecting respondents' identities in microdata release
    • P. Samarati. Protecting respondents' identities in microdata release. IEEE TKDE, 13(6):1010-1027, 2001.
    • (2001) IEEE TKDE , vol.13 , Issue.6 , pp. 1010-1027
    • Samarati, P.1
  • 26
    • 80052678955 scopus 로고    scopus 로고
    • K-NN as an implementation of situation testing for discrimination discovery and prevention
    • ACM
    • B. L. Thanh, S. Ruggieri and F. Turini. k-NN as an implementation of situation testing for discrimination discovery and prevention. In KDD 2011, pp. 502-510. ACM, 2011.
    • (2011) KDD 2011 , pp. 502-510
    • Thanh, B.L.1    Ruggieri, S.2    Turini, F.3
  • 27
    • 84857174738 scopus 로고    scopus 로고
    • Handling conditional discrimination
    • IEEE
    • I. Zliobaite, F. Kamiran and T. Calders. Handling conditional discrimination. In ICDM 2011, pp. 992-1001. IEEE, 2011.
    • (2011) ICDM 2011 , pp. 992-1001
    • Zliobaite, I.1    Kamiran, F.2    Calders, T.3


* 이 정보는 Elsevier사의 SCOPUS DB에서 KISTI가 분석하여 추출한 것입니다.