Cargando…
Privately vertically mining of sequential patterns based on differential privacy with high efficiency and utility
Sequential pattern mining is one of the fundamental tools for many important data analysis tasks, such as web browsing behavior analysis. Based on frequent patterns, decision-makers can obtain both economic gains and social values. Sequential data, on the other hand, frequently contain sensitive inf...
Autores principales: | Liang, Wenjuan, Zhang, Wenke, Liang, Songtao, Yuan, Caihong |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10587139/ https://www.ncbi.nlm.nih.gov/pubmed/37857630 http://dx.doi.org/10.1038/s41598-023-43030-z |
Ejemplares similares
-
Mining significant high utility gene regulation sequential patterns
por: Zihayat, Morteza, et al.
Publicado: (2017) -
Mining of high utility-probability sequential patterns from uncertain databases
por: Zhang, Binbin, et al.
Publicado: (2017) -
Mining actionable combined high utility incremental and associated sequential patterns
por: Shi, Min, et al.
Publicado: (2023) -
Efficient mining gapped sequential patterns for motifs in biological sequences
por: Liao, Vance Chiang-Chi, et al.
Publicado: (2013) -
DPSynthesizer: Differentially Private Data Synthesizer for Privacy Preserving Data Sharing
por: Li, Haoran, et al.
Publicado: (2014)