Differentially Private Frequent Itemset Mining from Smart Devices in Local Setting - researchr publication related

researchr

You are not signed in
Sign in
Sign up

Xinyuan Zhang, Liusheng Huang, Peng Fang, Shaowei Wang, Zhenyu Zhu, Hongli Xu. Differentially Private Frequent Itemset Mining from Smart Devices in Local Setting. In Liran Ma, Abdallah Khreishah, Yan Zhang 0002, Mingyuan Yan, editors, Wireless Algorithms, Systems, and Applications - 12th International Conference, WASA 2017, Guilin, China, June 19-21, 2017, Proceedings. Volume 10251 of Lecture Notes in Computer Science, pages 433-444, Springer, 2017. [doi]

The following publications are possibly variants of this publication:

Private Frequent Itemset Mining in the Local SettingHang Fu, Wei Yang, Liusheng Huang. wasa 2021: 338-350 [doi]

PrivBUD-Wise: Differentially Private Frequent Itemsets Mining in High-Dimensional DatabasesJingxin Xu, Kai Han, Pingping Song, Chaoting Xu, Fei Gui. apweb 2019: 110-124 [doi]

Differentially Private Frequent Itemset Mining via Transaction SplittingSen Su, Shengzhi Xu, Xiang Cheng, Zhengyi Li, Fangchun Yang. tkde, 27(7):1875-1891, 2015. [doi]

Differentially private frequent itemset mining via transaction splittingSen Su, Shengzhi Xu, Xiang Cheng, Zhengyi Li, Fangchun Yang. icde 2016: 1564-1565 [doi]

DP-Apriori: A differentially private frequent itemset mining algorithm based on transaction splittingXiang Cheng, Sen Su, Shengzhi Xu, Zhengyi Li. compsec, 50:74-90, 2015. [doi]

Differentially Private Frequent Sequence MiningShengzhi Xu, Xiang Cheng, Sen Su, Ke Xiao, Li Xiong 0001. tkde, 28(11):2910-2926, 2016. [doi]

runs on WebDSL