An anonymization technique using intersected decision trees
Data mining plays an important role in analyzing the massive amount of data collected in today’s world. However, due to the public’s rising awareness of privacy and lack of trust in organizations, suitable Privacy Preserving Data Mining (PPDM) techniques have become vital. A PPDM technique provides...
Main Authors: | Sam Fletcher, Md Zahidul Islam |
---|---|
Format: | Article |
Language: | English |
Published: |
Elsevier
2015-07-01
|
Series: | Journal of King Saud University: Computer and Information Sciences |
Subjects: | |
Online Access: | http://www.sciencedirect.com/science/article/pii/S1319157815000452 |
Similar Items
-
PRIVACY PRESERVING INDUCTION OF DECISION TREES FROM GEOGRAPHICALLY DISTRIBUTED DATABASES
by: KINSEY, MICHAEL LOY
Published: (2005) -
PTA: An Efficient System for Transaction Database Anonymization
by: Jerry Chun-Wei Lin, et al.
Published: (2016-01-01) -
Anonymization Techniques for Privacy Preserving Data Publishing: A Comprehensive Survey
by: Abdul Majeed, et al.
Published: (2021-01-01) -
An Efficient Big Data Anonymization Algorithm Based on Chaos and Perturbation Techniques
by: Can Eyupoglu, et al.
Published: (2018-05-01) -
Utility-preserving anonymization for health data publishing
by: Hyukki Lee, et al.
Published: (2017-07-01)