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

Bibliographic Details

Main Authors:	Saripuddin M., Suliman A., Syarmila Sameon S., Jorgensen B.N.
Other Authors:	57220806580
Format:	Conference Paper
Published:	Association for Computing Machinery 2023
Tags:	Add Tag No Tags, Be the first to tag this record!