Table 2 The feature types and descriptions of the feature extraction.
From: Network security analysis based on feature selection and optimized fireworks algorithm
Feature type | Description | Function |
|---|---|---|
Dimension reduction features of high-dimensional data | Data features extracted by dimension reduction techniques | Data simplification and feature extraction |
Feature dataset | Datasets containing key information formed after dimension reduction | For the subsequent feature identification and comparison |
Multi-label dataset characteristics | Dataset containing multiple labels | Assess and calculate feature datasets |
Mismatched data replacement features | Features after replacing the data missing from the multi-label dataset | Ensure that the data is consistent with the actual labeled data set |
Filter model features | FS model features used repeatedly in the filter | Filtering and feature identification |
Grid-structure model features | The FS model features in the grid structure | Data standardization and feature identification |
Multiple-objective recognition features | Optimized features for the rapid selection of key features from large amounts of data | Improve the identification efficiency and accuracy |
