Local differential privacy-based frequent sequence mining
Frequent sequence mining (FSM) is a fundamental component for analyzing sequential data in the big data era. However, collecting and analyzing sequence data incurs serious privacy issues for users. Local differential privacy (LDP) is a prevalent privacy paradigm for data statistics and analysis. Due...
| 出版年: | Journal of King Saud University: Computer and Information Sciences |
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| 主要な著者: | , |
| フォーマット: | 論文 |
| 言語: | 英語 |
| 出版事項: |
Springer
2022-06-01
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| 主題: | |
| オンライン･アクセス: | http://www.sciencedirect.com/science/article/pii/S1319157822001410 |