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 |