Privacy-preserving mining by rotational data transformation

Proceedings of the Annual Southeast Conference

Volumn 1, Issue , 2005, Pages 1233-1236

  Ketel, Mohammed ^a   Homaifar, Abdullah ^a  

^a NORTH CAROLINA A AND T STATE UNIVERSITY   (United States)

Author keywords

Data mining; Data transformation; Privacy

Indexed keywords

DATA DISTORTION; DATA MINING APPLICATIONS; DATA TRANSFORMATION; LARGE DATASETS; NOISE ADDITION; NUMERICAL ATTRIBUTES; PRIVACY PRESERVING; PRIVACY PRESERVING DATA MINING; PRIVACY REQUIREMENTS; PRIVATE INFORMATION; ROTATIONAL DATA; SENSITIVE DATAS; STATISTICAL PARAMETERS; STATISTICAL PROPERTIES;

DATA MINING; DATA PRIVACY; MACHINERY;

METADATA;

EID: 67649254444     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1167350.1167419     Document Type: Conference Paper

References (11)

1. th Brazilian Symposium on Databases (SBBD 2003), pp 304-318, Manaus, Brazil, 6-8 October 2003.
2. Stanley Oliveira and Osmar R. Zaïane, Achieving Privacy Preservation When Sharing Data for Clustering, in VLDB'2004, Springer Verlag LNCS 3178, pp 67-82, Toronto, Canada, August 30, 2004.
3. R. Agrawal and R. Srikant, Privacy-preserving data mining, in Proceeding of the ACM SIGMOD Conference on Management of Data, pp 439-450, Dallas, Texas, May 2000.ACM Press.
4. D. Agrawal and C. C. Aggawal, On the design and quantification of privacy preserving data mining algorithms, In Proceedings of the 20th ACM SIMOD Symposium on Principles of Database Systems, pp 247-255, Santa Barbara, May 2001.
5. J. Han and M. Kamber, Data Mining: Concepts and Techniques, Morgan Kaufmann Publishers, San Francisco, CA, 2001.
6. M. Kantarcioglu and C. Clifton, Privacy-preserving distributed mining of association rules on horizontally partitioned data, In SIGMOD Workshop on DMKD, Madison, WI, June 2002.
7. A. Evfimevski, J. Gehrke, and R. Srikant, Limiting privacy breaches in privacy preserving data mining, In Proceedings of the ACM SIMOD/PODS Conference, San Diego, CA, June 2003.
8. P. Samarati, Protecting respondents' identities in micro-data release, IEEE Transactions on Knowledge Engineering, 13(6), pp 1010-1027, 2001.
9. L. Sweeney, Datafly: A system for providing anonymity in medical data, in Proceedings of Eleventh International Conference on Database Security, pp 356-381. Database Security, Status and Prospects, 1998.
10. A. Papoulis, Probability, random variables and stochastic processes, Mc Graw Hill Publishers, 1984.
11. R. Hamming, Coding and information theory, Prentice Hall, 1986.