Effects of data anonymization on the data mining results

MIPRO 2012 - 35th International Convention on Information and Communication Technology, Electronics and Microelectronics - Proceedings

Volumn , Issue , 2012, Pages 1619-1623

  Buratović, Ines ^a   Miličević, Mario ^a   Zubrinić, Krunoslav ^a  

^a UNIVERSITY OF DUBROVNIK   (Croatia)

Author keywords

[No Author keywords available]

Indexed keywords

ANONYMIZATION; DATA ANONYMIZATION; DATA MINING TECHNIQUES; DATA PATTERNS; DATA RECORDS; DATA SETS; FIRST YEAR; K-ANONYMIZATION; PERSONAL INFORMATION; PRIVACY CONCERNS; PRIVACY PRESERVING; SECONDARY SCHOOLS;

COMMUNICATION; DATA MINING; INFORMATION TECHNOLOGY; MICROELECTRONICS; STUDENTS;

DATA PRIVACY;

EID: 84865103441     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. E. Bertino, D. Lin, and W. Jiang, "A Survey of quantification of privacy preserving data mining algorithms" in Privacy-Preserving Data Mining, vol. 34, Springer US, 2008, pp. 183-205
2. Law on the protection of data confidentiality, Official Gazette of the Republic of Croatia, 108/1996, in Croatian
3. Law on the protection of personal information, Official Gazette of the Republic of Croatia, 103/2003, in Croatian
4. R. Agrawal and R. Srikant. "Privacy-preserving data mining". In ACM-SIGMOD Conference on Management of Data, pp. 439-450, 2000.
5. P. Samarati, L. Sweeney, "Generalizing data to provide anonymity when disclosing information" in Proceedings. of the 17th ACM SIGMOD-SIGACT-SIGART Symposium on the Principles of Database Systems, 1998
6. L. Sweeney, "k-anonymity: a model for protecting privacy". International Journal on Uncertainty, Fuzziness and Knowledge-based Systems, 10 (5), 2002; 557-570.
7. P. Samarati, "Protecting Respondents' Identities in Microdata Release", IEEE Transactions on Knowledge and Data Engineering, Vol 13 (6), 2001, pp. 1010-1027.
8. V. Ciriani, S. De Capitani di Vimercati, S. Foresti, and P. Samarati, "k-Anonymous Data Mining: A Survey", in Privacy-Preserving Data Mining, Vol. 34 (2008), pp. 105-136.
9. C. C. Aggarwal. "On k-anonymity and the curse of dimensionality". In Proc. of the 31th VLDB Conference, Trondheim, Norway, September 2005.
10. M. Robnik-Sikonja, I. Kononenko, "Theoretical and Empirical Analysis of ReliefF and RreliefF" in Machine Learning Journal, Vol. 53, 2003, pp. 23-69
11. I. H. Witten, E. Frank, M. A Hall. "Data mining: practical machine learning tools and techniques", third edition, Morgan Kaufmann, San Francisco, 2011.