Enhanced grey wolf optimisation algorithm for feature selection in anomaly detection
Anomaly detection deals with identification of items that do not conform to an expected pattern or items present in a dataset. The performance of different mechanisms utilized to perform the anomaly detection depends heavily on the group of features used. Thus, not all features in the dataset can be...
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| Format: | Thesis |
| Language: | English |
| Published: |
2022
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| Online Access: | https://etd.uum.edu.my/10192/1/s903692_01.pdf https://etd.uum.edu.my/10192/ |
| Abstract | Abstract here |
