Unsupervised Anomaly Detection for Multivariate Incomplete Data using GAN-based Data Imputation: A Comparative Study.
Kisan SardaAmol YerudkarCarmen Del VecchioPublished in: MED (2023)
Keyphrases
- data imputation
- incomplete data
- missing values
- unsupervised anomaly detection
- anomaly detection
- missing data
- semi supervised
- intrusion detection
- learning bayesian networks
- incomplete data sets
- pattern mining
- high dimensional data
- multiple imputation
- structuring elements
- irrelevant attributes
- missing attribute values
- imputation methods
- data sets
- neural network
- training set