Enhancing privacy in clustering and data mining: A novel approach for sensitive data protection
In the era of big data, clustering and data mining have become essential tools for uncovering patterns and insights from vast datasets. However, these processes often involve the use of sensitive data, raising significant concerns about privacy, security, and trustworthiness. This paper propose...
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| Main Author: | Haythem Hayouni |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Growing Science
2025-01-01
|
| Series: | International Journal of Data and Network Science |
| Online Access: | https://www.growingscience.com/ijds/Vol9/ijdns_2025_11.pdf |
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