CICIDS-2017 dataset feature analysis with information gain for anomaly detection
Feature selection (FS) is one of the important tasks of data preprocessing in data analytics. The data with a large number of features will affect the computational complexity, increase a huge amount of resource usage and time consumption for data analytics. The objective of this study is to analyze...
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Institute of Electrical and Electronics Engineers Inc.
2020
|
| Subjects: | |
| Online Access: | http://eprints.utm.my/93850/1/CICIDS-MohdYazidIdris2020_CICIDS2017DatasetFeatureAnalysisWithInformation.pdf |