Survey of differential privacy in frequent pattern mining
Frequent pattern mining is an exploratory problem in the field of data mining.However,directly releasing the discovered frequent patterns and the corresponding true supports may reveal the individuals’ privacy.The state-of-the-art solution for this problem is differential privacy,which offers a stro...
| 出版年: | Tongxin xuebao |
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| 主要な著者: | , |
| フォーマット: | 論文 |
| 言語: | 中国語 |
| 出版事項: |
Editorial Department of Journal on Communications
2014-10-01
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| 主題: | |
| オンライン･アクセス: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.10.023/ |
| 要約: | Frequent pattern mining is an exploratory problem in the field of data mining.However,directly releasing the discovered frequent patterns and the corresponding true supports may reveal the individuals’ privacy.The state-of-the-art solution for this problem is differential privacy,which offers a strong degree of privacy protection by adding noise.Firstly,the theoretical basis of differential privacy was introduced.Then,three representative frequent pattern mining methods under differential privacy were summarized and compared in detail.Finally,some future research directions were discussed. |
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| ISSN: | 1000-436X |