Research Article
Data Anomaly Detection through Semisupervised Learning Aided by Customised Data Augmentation Techniques
Table 2
Dataset composition for the SSL training process.
| Labelled/unlabelled data composition of each pattern | Data pattern | Normal | Missing | Minor | Outlier | Square | Trend | Drift |
| Labelled data | 200 | 200 | 200 | 200 | 200 | 200 | 200 | Unlabelled data | 13,375 | 2,742 | 1,575 | 327 | 2,796 | 5,578 | 479 | Total quantity | 13,575 | 2,942 | 1,775 | 527 | 2,996 | 5,778 | 679 | Total | 28,272/100% |
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