Random Undersampling on Imbalance Time Series Data for Anomaly Detection
Deep learning; Learning algorithms; Time series; Anomaly detection; Electricity theft detection; Imbalance datum; Imbalance time series data; Over sampling; Overfitting; Random under samplings; Resampling approaches; Time-series data; Under-sampling; Anomaly detection
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| Main Authors: | , , , |
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| Format: | Conference Paper |
| Published: |
Association for Computing Machinery
2023
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