Mining frequent items from high-dimensional set-valued data under local differential privacy protection

Author:

Wu Haonan,Ran Ruisheng,Peng Shunshun,Yang MengmengORCID,Guo TaolinORCID

Funder

Chongqing Municipal Education Commission

Chongqing Normal University

Chongqing Postdoctoral Science Foundation

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Natural Science Foundation of Chongqing Municipality

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference43 articles.

1. Customized frequent patterns mining algorithms for enhanced top-rank-k frequent pattern mining;Abdelaal;Expert Systems with Applications,2021

2. Frequent itemsets mining with a guaranteed local differential privacy in small datasets;Afrose,2021

3. Add noise to remove noise: Local differential privacy for feature selection;Alishahi;Computers & Security,2022

4. Random sampling plus fake data: Multidimensional frequency estimates with local differential privacy;Arcolezi,2021

5. Frequency estimation of evolving data under local differential privacy;Arcolezi,2023

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