document: Using randomized response techniques for privacy-preserving data mining Privacy is an important issue in data mining and knowledge discovery . In this paper , we propose to use the randomized response techniques to conduct the data mining computation . Specially , we present a method to build decision tree classifiers from the disguised data . We conduct experiments to compare the accuracy of our decision tree 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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