Non-Additive Random Data Perturbation for Real World Data
نویسندگان
چکیده
منابع مشابه
On Random Additive Perturbation for Privacy Preserving Data Mining
Title of Thesis: On Random Additive Perturbation for Privacy Preserving Data Mining Author: Souptik Datta, Master of Science, 2004 Thesis directed by: Dr. Hillol Kargupta, Associate Professor Department of Computer Science and Electrical Engineering Privacy is becoming an increasingly important issue in many data mining applications. This has triggered the development of many privacy-preserving...
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ژورنال
عنوان ژورنال: Procedia Technology
سال: 2012
ISSN: 2212-0173
DOI: 10.1016/j.protcy.2012.05.053