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...
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| Principais autores: | , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado: |
Springer
2022-06-01
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| Series: | Journal of King Saud University: Computer and Information Sciences |
| Assuntos: | |
| Acceso en liña: | http://www.sciencedirect.com/science/article/pii/S1319157822001410 |
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