On anonymization of string data

Proceedings of the 7th SIAM International Conference on Data Mining

Volumn , Issue , 2007, Pages 419-424

  Aggarwal, Charu C ^a   Yu, Philip S ^a  

^a IBM T J WATSON RESEARCH CENTER   (United States)

Author keywords

Condensation; Privacy; Strings

Indexed keywords

CONDENSATION; DATA PRIVACY; GENE ENCODING;

ANONYMIZATION; BIOLOGICAL DATA; PRIVACY PRESERVING; PRIVACY PRESERVING DATA MINING; STATISTICAL CHARACTERISTICS; STRINGS; TEMPLATE-BASED; TEMPLATE-BASED MODELING;

DATA MINING;

EID: 70449115434     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1137/1.9781611972771.38     Document Type: Conference Paper

References (7)

1. C. C. Aggarwal, and P. S. Yu. A Condensation Based Approach to Privacy Preserving Data Mining. EDBT Conference, 2004.
2. C. C. Aggarwal, and P. S. Yu. On Anonymization of Strings. IBM Research Report, 2007.
3. C. C. Aggarwal. On k-anonymity and the curse of dimensionality. VLDB Conference, 2004.
4. R. Bayardo, and R. Agrawal. Data Privacy through optimal k-anonymization. ICDE Conference, 2005.
5. B. Maim, and L. Sweeney. Re-identification of DNA through an automated linkage process. American Medical Informatics Association, 423-427, 2001.
6. A. Meyerson, and R. Williams. On the complexity of optimal k-anonymity. ACM PODS Conference, 2004.
7. P. Samarati. Protecting Respondents' Identities in Microdata Release. IEEE Trans. Knowl. Data Eng. 13(6):1010-1027, 2001.