TitlePrivacy-Preserving Naive Bayesian Classification
Publication TypeConference Paper
Year of Publication2004
AuthorsZhan, Z., LW. Chang, and S. Matwin
Conference NameIASTED conference on AIA
Conference LocationAustria

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.

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