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Differentially Private Frequent Subgraph Mining
Mining frequent subgraphs from a collection of input graphs is an important topic in data mining research. However, if the input graphs contain sensitive information, releasing frequent subgraphs may pose considerable threats to individual's privacy. In this paper, we study the problem of frequ...
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| 出版年: | Proc Int Conf Data Eng |
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| 主要な著者: | , , , , |
| フォーマット: | Artigo |
| 言語: | Inglês |
| 出版事項: |
2016
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| 主題: | |
| オンライン･アクセス: | https://ncbi.nlm.nih.gov/pmc/articles/PMC5015894/ https://ncbi.nlm.nih.gov/pubmed/27616876 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1109/ICDE.2016.7498243 |
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