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Research on Privacy Preserving Data Mining
Anhui University of Finance and Economics, Bengbu, 233030, China.
University of Kansas, Lawrence, Kansas, 66045, USA.
*Corresponding Author: Pingshui Wang. Email: .
Journal of Information Hiding and Privacy Protection 2019, 1(2), 61-68. https://doi.org/10.32604/jihpp.2019.05943
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In recent years, with the explosive development in Internet, data storage and data processing technologies, privacy preservation has been one of the greater concerns in data mining. A number of methods and techniques have been developed for privacy preserving data mining. This paper provided a wide survey of different privacy preserving data mining algorithms and analyzed the representative techniques for privacy preservation. The existing problems and directions for future research are also discussed.Keywords
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APA Style
Wang, P., Chen, T., Wang, Z. (2019). Research on privacy preserving data mining. Journal of Information Hiding and Privacy Protection, 1(2), 61-68. https://doi.org/10.32604/jihpp.2019.05943
Vancouver Style
Wang P, Chen T, Wang Z. Research on privacy preserving data mining. J Inf Hiding Privacy Protection . 2019;1(2):61-68 https://doi.org/10.32604/jihpp.2019.05943
IEEE Style
P. Wang, T. Chen, and Z. Wang, “Research on Privacy Preserving Data Mining,” J. Inf. Hiding Privacy Protection , vol. 1, no. 2, pp. 61-68, 2019. https://doi.org/10.32604/jihpp.2019.05943
Citations
Copyright © 2019 The Author(s). Published by Tech Science Press.This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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