Privacy Preserving Association Rule Mining: Taxonomy, Techniques, and Metrics

Privacy Preserving Association Rule Mining: Taxonomy, Techniques, and Metrics

In the last decades, pervasive computing is generating a growing quantity of data. Data mining (DM) technology has become increasingly popular. However, the excessive collection and analysis of data may violate the privacy of individuals and organizations, which raises privacy concern. Therefore, a...

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Bibliographic Details
Main Authors: Lili Zhang, Wenjie Wang, Yuqing Zhang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Data mining
privacy preserving
association rule mining
association rule hiding
frequent itemsets
privacy metrics
Online Access:https://ieeexplore.ieee.org/document/8678639/

Internet

https://ieeexplore.ieee.org/document/8678639/

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