Forecasting and Anomaly Detection approaches using LSTM and LSTM Autoencoder techniques with the applications in supply chain management.
Huu Du NguyenKim Phuc TranSébastien ThomasseyMoez HamadPublished in: Int. J. Inf. Manag. (2021)
Keyphrases
- anomaly detection
- supply chain management
- one class support vector machines
- intrusion detection
- supply chain
- anomalous behavior
- network traffic
- network intrusion detection
- recurrent neural networks
- detecting anomalous
- detecting anomalies
- electronic commerce
- network anomaly detection
- training data
- real world
- network security
- intrusion detection system
- unsupervised learning
- data mining applications
- hidden markov models
- feature space
- feature extraction
- decision making
- neural network
- connectionist systems