Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data-Reference-Cited by-同舟云学术

Frequent Itemsets Mining With Differential Privacy Over Large-Scale Data

Author:

Xiong Xinyu,Chen Fei^ORCID,Huang Peizhi,Tian Miaomiao,Hu Xiaofang,Chen Badong^ORCID,Qin Jing

Funder

Innovation and Technology Fund of Hong Kong

Hong Kong Polytechnic University

National Natural Science Foundation of China

Science and Technology Plan Projects of Shenzhen

Fundamental Science and Advanced Technology Research Foundation of Chongqing

Chongqing Postdoctoral Science Foundation

Southwest University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science

Link

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

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5. Improving the Effect of Frequent Itemset Mining with Hadamard Response under Local Differential Privacy;2021 IEEE 20th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom);2021-10