%0 Journal Article
%T An Enhanced Utility-Driven Data Anonymization Method
%A Stuart Morton
%A Malika Mahoui
%A P. Joseph Gibson
%A Saidaiah Yechuri
%J Transactions on Data Privacy
%D 2012
%I IIIA-CSIC
%X As medical data continues to transition to electronic formats, opportunities arise for researchers to use this microdata to discover patterns and increase knowledge that can improve patient care. We propose a data utility measurement, called the research value (RV), which reflects the importance of an database attribute with respect to the other database attributes in a dataset as well as reflect the significance of the content of the data from a researcher's point of view. Our algorithms use these research values to assess an attribute's data utility as it is generalizing the data to ensure k-anonymity. The proposed algorithms scale efficiently even when using datasets with large numbers of attributes.
%U http://www.tdp.cat/issues11/tdp.a067a11.pdf