A Privacy-Preserving Data Mining Method Based on Singular Value Decomposition and Independent Component Analysis
Privacy protection is indispensable in data mining, and many privacy-preserving data mining (PPDM) methods have been proposed. One such method is based on singular value decomposition (SVD), which uses SVD to find unimportant information for data mining and removes it to protect privacy. Independent...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Ubiquity Press
2011-02-01
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| Series: | Data Science Journal |
| Subjects: | |
| Online Access: | http://datascience.codata.org/articles/142 |