Improving the Effect of Frequent Itemset Mining with Hadamard Response under Local Differential Privacy
Author:
Affiliation:
1. Inner Mongolia University,Inner Mongolia Key Laboratory of Wireless Networking and Mobile Computing,Hohhot,China
Funder
Inner Mongolia Natural Science Foundation
Science and Technology Program of Inner Mongolia Autonomous Region
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9724288/9724267/09724504.pdf?arnumber=9724504
Reference22 articles.
1. Frequent Itemsets Mining with Differential Privacy over Large-scale Data;xinyu;IEEE Access,2018
2. Candidate Pruning-Based Differentially Private Frequent Itemsets Mining
3. Differentially Private Frequent Itemset Mining via Transaction Splitting
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1. Mining frequent items from high-dimensional set-valued data under local differential privacy protection;Expert Systems with Applications;2023-12
2. HyperMean: Effective Multidimensional Mean Estimation with Local Differential Privacy;2022 IEEE International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2022-12
3. Locally Differentially Private Frequent Pattern Mining for High-Dimensional Data in Mobile Smart Services;International Journal of Pattern Recognition and Artificial Intelligence;2022-11-24
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