Outlier Detection and Explanation Method Based on FOLOF Algorithm
Outlier mining constitutes an essential aspect of modern data analytics, focusing on the identification and interpretation of anomalous observations. Conventional density-based local outlier detection methodologies frequently exhibit limitations due to their inherent lack of data preprocessing capab...
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| Autori principali: | , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
MDPI AG
2025-05-01
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| Serie: | Entropy |
| Soggetti: | |
| Accesso online: | https://www.mdpi.com/1099-4300/27/6/582 |
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