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...
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| Format: | Article |
| Language: | zho |
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Editorial Department of Journal on Communications
2014-10-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.10.023/ |
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| _version_ | 1841539772169846784 |
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| author | Li-ping DING Guo-qing LU |
| author_facet | Li-ping DING Guo-qing LU |
| author_sort | Li-ping DING |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-e3051abea3a044c3bc189851946bb5b4 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2014-10-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-e3051abea3a044c3bc189851946bb5b42025-01-14T06:44:28ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2014-10-013520020959687116Survey of differential privacy in frequent pattern miningLi-ping DINGGuo-qing LUFrequent 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.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.10.023/differential privacyprivacy protectionfrequent patterndata mining |
| spellingShingle | Li-ping DING Guo-qing LU Survey of differential privacy in frequent pattern mining Tongxin xuebao differential privacy privacy protection frequent pattern data mining |
| title | Survey of differential privacy in frequent pattern mining |
| title_full | Survey of differential privacy in frequent pattern mining |
| title_fullStr | Survey of differential privacy in frequent pattern mining |
| title_full_unstemmed | Survey of differential privacy in frequent pattern mining |
| title_short | Survey of differential privacy in frequent pattern mining |
| title_sort | survey of differential privacy in frequent pattern mining |
| topic | differential privacy privacy protection frequent pattern data mining |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2014.10.023/ |
| work_keys_str_mv | AT lipingding surveyofdifferentialprivacyinfrequentpatternmining AT guoqinglu surveyofdifferentialprivacyinfrequentpatternmining |