Understanding the Effect of Data Augmentation in Self-supervised Anomaly Detection.
Jaemin YooTiancheng ZhaoLeman AkogluPublished in: CoRR (2022)
Keyphrases
- anomaly detection
- data sets
- data analysis
- intrusion detection
- streaming data
- data processing
- input data
- data mining techniques
- detecting anomalies
- data points
- training data
- computer vision
- semi supervised
- data sources
- data streams
- pattern recognition
- unsupervised learning
- clustering algorithm
- data mining algorithms
- data mining applications
- correlation analysis
- learning algorithm