Privacy preserving data mining and statistical disclosure control propose several perturbative methods to protect the privacy of the respondents. Such perturbation can introduce inconsistencies to the sensitive data. Due to this, data editing techniques are used in order to ensure the correctness of the collected data before and after the anonymization. In this paper we propose a methodology...
Financed by the National Centre for Research and Development under grant No. SP/I/1/77065/10 by the strategic scientific research and experimental development program:
SYNAT - “Interdisciplinary System for Interactive Scientific and Scientific-Technical Information”.