Random Undersampling on Imbalance Time Series Data for Anomaly Detection

• Main Authors: Saripuddin M., Suliman A., Syarmila Sameon S., Jorgensen B.N.
• Other Authors: 57220806580
• Format: Conference Paper
• Published: Association for Computing Machinery 2023

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