Limiting Privacy Breaches in Privacy Preserving Data Mining

Proceedings of the ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems

Volumn 22, Issue , 2003, Pages 211-222

  Evfimievski, Alexandre ^a   Gehrke, Johannes ^a   Srikant, Ramakrishnan ^b  

^a Department of Obstetrics Gynecology   (United States)

^b IBM ALMADEN RESEARCH CENTER   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

ALGORITHMS; AMPLIFICATION; DATA MINING; DATA REDUCTION; FUNCTIONS; MATHEMATICAL MODELS; PROBABILITY; PROBLEM SOLVING; RANDOM PROCESSES; THEOREM PROVING;

DATA DISTRIBUTION; RANDOMIZATION;

DATA PRIVACY;

EID: 1142263341     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/773153.773174     Document Type: Conference Paper

References (21)

1. D. Agrawal and C. C. Aggarwal. On the design and quantification of privacy preserving data mining algorithms. In Proceedings of the 20th Symposium on Principles of Database Systems, Santa Barbara, California, USA, May 2001.
2. R. Agrawal and R. Srikant. Fast algorithms for mining association rules. In Proceedings of the 20th International Conference on Very Large Databases, Santiago, Chile, September 1994.
3. R. Agrawal and R. Srikant. Privacy preserving data mining. In ACM SIGMOD Conference on Management of Data, pages 439-450, Dallas, Texas, May 2000.
4. R. Agrawal and R. Srikant. Privacy preserving data mining. In Proceedings of the 19th ACM SIGMOD Conference on Management of Data, Dallas, Texas, USA, May 2000.
5. C. Clifton and D. Marks. Security and privacy implications of data mining. In ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery, pages 15-19, May 1996.
6. The Economist. The End of Privacy, May 1999.
7. V. Estivill-Castro and L. Brankovic. Data swapping: Balancing privacy against precision in mining for logic rules. In M. Mohania and A. Tjoa, editors, Data Warehousing and Knowledge Discovery DaWaK-99, pages 389-398. Springer-Verlag Lecture Notes in Computer Science 1676, 1999.
8. European Union. Directive on Privacy Protection, October 1998.
9. A. Evfimievski, R. Srikant, R. Agrawal, and J. Gehrke. Privacy preserving mining of association rules. In Proceedings of the 8th ACM SIGKDD International Conference on Knowledge Discovery in Databases and Data Mining, pages 217-228, Edmonton, Alberta, Canada, July 23-26 2002.
10. A. Evfimievski, R. Srikant, R. Agrawal, and J. Gehrke. Privacy preserving mining of association rules. In Proc. of the 8th ACM SIGKDD Int'l Conference on Knowledge Discovery and Data Mining, Edmonton, Canada, July 2002.
11. A. S. Hedayat, N. J. A. Sloane, and J. Stufken. Orthogonal Arrays; Theory and Applications. Springer Verlag, August 1999. 440 pp.
12. M. Kantarcioglu and C. Clifton. Privacy-preserving distributed mining of association rules on horizontally partitioned data. In ACM SIGMOD Workshop on Research Issues on Data Mining and Knowledge Discovery, June 2002.
13. Y. Lindell and B. Pinkas, Privacy preserving data mining. In CRYPTO, pages 36-54, 2000.
14. F. J. C. MacWilliams and N. J. A. Sloane. The Theory of Error-Correcting Codes. North-Holland, Amsterdam, 1978. 762 pp.
15. Office of the Information and Privacy Commissioner, Ontario. Data Mining: Staking a Claim on Your Privacy, January 1998.
16. O. Pretzel. Error-Correcting Codes and Finite Fields. Oxford University Press, 1992. 398 pp.
17. S. J. Rizvi and J. R. Haritsa. Maintaining data privacy in association rule mining. In Proceedings of the 28th International Conference on Very Large Data Bases, Hong Kong, China, August 2002.
18. S. J. Rizvi and J. R. Haritsa. Privacy-preserving association rule mining. In Proc. of the 28th Int'l Conference on Very Large Databases, August 2002.
19. C. E. Shannon. Communication theory of secrecy systems. Bell System Technical journal, 28-4:656-715, 1949.
20. K. Thearling. Data mining and privacy: A conflict in making. DS*, March 1998.
21. J. Vaidya and C. W. Clifton. Privacy preserving association rule mining in vertically partitioned data. In Proc. of the 8th ACM SIGKDD Int'l Conference on Knowledge Discovery and Data Mining, Edmonton, Canada, July 2002.