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...
Saved in:
主要作者: | Almazini, Hussein |
---|---|
格式: | Thesis |
语言: | eng eng |
出版: |
2022
|
主题: | |
在线阅读: | https://etd.uum.edu.my/10192/1/s903692_01.pdf https://etd.uum.edu.my/10192/2/s903692_02.pdf |
标签: |
添加标签
没有标签, 成为第一个标记此记录!
|
相似书籍
-
An improved grey wolf optimiser sine cosine algorithm for minimisation of injection moulding shrinkage
由: Mohd. Hatta, Noramalina
出版: (2019) -
An improved grey wolf with whale algorithm for optimization functions
由: Asgher, Hafiz Maaz
出版: (2022) -
An ensemble of neural network and modified grey wolf optimizer for stock prediction
由: Das, Debashish
出版: (2019) -
Spatial fuzzy c-mean sobel algorithm with grey wolf optimizer for MRI brain image segmentation
由: Tehrani, Iman Omidvar
出版: (2017) -
Aco-based feature selection algorithm for classification
由: Al-mazini, Hassan Fouad Abbas
出版: (2022)