Privacy preserving data mining with 3-D rotation transformation
Data perturbation is one of the popular data mining techniques for privacy preserving. A major issue in data perturbation is that how to balance the two conflicting factors – protection of privacy and data utility. This paper proposes a Geometric Data Perturbation (GDP) method using data partitionin...
| Main Authors: | , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2018-10-01
|
| Series: | Journal of King Saud University: Computer and Information Sciences |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157816301227 |