Performance measurements for privacy preserving data mining

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 3518 LNAI, Issue , 2005, Pages 43-49

  Zhang, Nan ^a   Zhao, Wei ^a   Chen, Jianer ^a  

^a TEXAS A AND M UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DATA PRIVACY; GAME THEORY; INFORMATION TECHNOLOGY; PROBLEM SOLVING; SECURITY OF DATA;

MINING TECHNIQUES; PERFORMANCE MEASUREMENTS; PRIVACY PROTECTION;

DATA MINING;

EID: 26944448211     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/11430919_7     Document Type: Conference Paper

References (10)

1. D. Agrawal and C. C. Aggarwal. On the design and quantification of privacy preserving data mining algorithms. In Proceedings of the twentieth ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, pages 247-255. ACM Press, 2001.
2. R. Agrawal and R. Srikant. Privacy-preserving data mining. In Proceedings of the 2000 ACM SIGMOD international conference on Management of data, pages 439-450. ACM Press, 2000.
3. W. Du and M. Atallah. Privacy-preserving cooperative statistical analysis. In Proceedings of the 17th Annual Computer Security Applications Conference, page 102, Washington, DC, USA, 2001. IEEE Computer Society.
4. W. Du and Z. Zhan. Using randomized response techniques for privacy-preserving data mining. In Proceedings of the ninth ACM SIGKDD international conference on Knowledge discovery and data mining, pages 505-510, New York, NY, USA, 2003. ACM Press.
5. A. Evfimievski, J. Gehrke, and R. Srikant. Limiting privacy breaches in privacy preserving data mining. In Proceedings of the twenty-second ACM SIGMOD-SIGACT-SIGART symposium on Principles of database systems, pages 211-222, New York, NY, USA, 2003. ACM Press.
6. A. Evfimievski, R. Srikant, R. Agarwal, and J. Gehrke. Privacy preserving mining of association rules. Inf. Syst., 29(4):343-364, 2004.
7. F. Massey. The kolmogorov-smirnov test for goodness of fit. Journal of the American Statistical Association, 46(253).
8. S. Rizvi and J. Haritsa. Maintaining data privacy in association rule mining, 2002.
9. N. Zhang, W. Zhao, and J. Chen. On the performance measurement for privacy preserving data mining, technical report, 2004.
10. Y. Zhu and L. Liu. Optimal randomization for privacy preserving data mining. In Proceedings of the 2004 ACM SIGKDD international conference on Knowledge discovery and data mining, pages 761-766, New York, NY, USA, 2004. ACM Press.