A Two-Phase Algorithm for Differentially Private Frequent Subgraph Mining

Mining frequent subgraphs from a collection of input graphs is an important task for exploratory data analysis on graph data. However, if the input graphs contain sensitive information, releasing discovered frequent subgraphs may pose considerable threats to individual privacy. In this paper, we stu...

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Publié dans:	IEEE transactions on knowledge and data engineering. - 1998. - 30(2018), 8 vom: 01. Aug., Seite 1411-1425
Auteur principal:	Cheng, Xiang (Auteur)
Autres auteurs:	Su, Sen, Xu, Shengzhi, Xiong, Li, Xiao, Ke, Zhao, Mingxing
Format:	Article en ligne
Langue:	English
Publié:	2018
Accès à la collection:	IEEE transactions on knowledge and data engineering
Sujets:	Journal Article Data Privacy Differential Privacy Frequent Pattern Mining Frequent Subgraph Mining