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A parallel algorithm PMASK based on privacy-preserving data mining

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4 Author(s)
Yonghong Xie ; Sch. of Comput. & Commun. Eng., Univ. of Sci. & Technol. Beijing, Beijing, China ; Zhiju Xu ; Xiaojie Zhu ; Ping Xie

Because of the increasing ability to trace and collect large amount of personal information, privacy preserving has become an important issue in the development progress of data mining techniques. Many methods have been brought out to solve this problem. In this paper, an algorithm on privacy preserving data mining named PMASK is introduced. PMASK not only can help preserve privacy but it can also be used to deal with mass data. PMASK proposed is effective according to the experimental results presented at the end of the paper book.

Published in:

Instrumentation & Measurement, Sensor Network and Automation (IMSNA), 2012 International Symposium on  (Volume:2 )

Date of Conference:

25-28 Aug. 2012

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