|Title||Privacy-Preserving Naive Bayesian Classification|
|Publication Type||Conference Paper|
|Year of Publication||2004|
|Authors||Zhan, Z., LW. Chang, and S. Matwin|
|Conference Name||IASTED conference on AIA|
In this paper, we propose to use the randomized response techniques to conduct the data mining computation. Specially, we present a method to build naive Bayesian classifiers from the disguised data. We conduct experiments to compare the accuracy of our classifier with the one built from the original undisguised data. Our results show that although the data are disguised, our method can still achieve fairly high accuracy. We also show how the parameter used in the randomized response techniques affects the accuracy of the results.
|NRL Publication Release Number|| |