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...

詳細記述

書誌詳細
第一著者: Almazini, Hussein
フォーマット: 学位論文
言語:英語
出版事項: 2022
主題:
オンライン・アクセス:https://etd.uum.edu.my/10192/1/s903692_01.pdf