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Personalized Privacy-Preserving Frequent Itemset Mining Using Randomized Response
Frequent itemset mining is the important first step of association rule mining, which discovers interesting patterns from the massive data. There are increasing concerns about the privacy problem in the frequent itemset mining. Some works have been proposed to handle this kind of problem. In this pa...
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| Main Authors: | , , , |
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| Format: | Artigo |
| Jezik: | Inglês |
| Izdano: |
Hindawi Publishing Corporation
2014
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| Teme: | |
| Online dostop: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3988866/ https://ncbi.nlm.nih.gov/pubmed/25143989 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1155/2014/686151 |
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