Singular value decomposition based data distortion strategy for privacy protection

@article{Xu2006SingularVD,
  title={Singular value decomposition based data distortion strategy for privacy protection},
  author={Shuting Xu and Jun Zhang and Dianwei Han and Jie Wang},
  journal={Knowledge and Information Systems},
  year={2006},
  volume={10},
  pages={383-397}
}
Privacy-preserving is a major concern in the application of data mining techniques to datasets containing personal, sensitive, or confidential information. Data distortion is a critical component to preserve privacy in security-related data mining applications, such as in data mining-based terrorist analysis systems. We propose a sparsified Singular Value Decomposition (SVD) method for data distortion. We also put forth a few metrics to measure the difference between the distorted dataset and… CONTINUE READING

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