An efficient local outlier detection approach using kernel density estimation
In recent times, outlier detection has played a crucial role in computer networks, fraud detection, and many such applications. Despite adequate research initiatives addressing the topic of finding outliers in datasets, still faces numerous obstacles in establishing an appropriate approach for addre...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
| Published: |
Elsevier
2024-09-01
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| Series: | Franklin Open |
| Subjects: | |
| Online Access: | http://www.sciencedirect.com/science/article/pii/S2773186324000926 |