DPARM: Differentially Private Association Rules Mining

DPARM: Differentially Private Association Rules Mining

Association analysis is critical in data analysis performed to find all co-occurrence relationships ($i.e$ ., frequent itemsets or confident association rules) from the transactional dataset. An association rule can improve the ability of users to discover patterns and develop corresponding strategi...

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Bibliographic Details
Main Authors: Yao-Tung Tsou, Hao Zhen, Xiyu Jiang, Yennun Huang, Sy-Yen Kuo
Format: Article
Language:English
Published: IEEE 2020-01-01
Series:IEEE Access
Subjects:
Privacy-preserving data analysis
differential privacy
association analysis
association rules mining
frequent itemset mining
Online Access:https://ieeexplore.ieee.org/document/9152958/

Internet

https://ieeexplore.ieee.org/document/9152958/

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