Artificial Intelligence for Diabetes Mellitus Type II: Forecasting and Anomaly Detection.
Kareem ArabZied BouidaMohamed IbnkahlaPublished in: WCNC (2019)
Keyphrases
- anomaly detection
- type ii
- diabetes mellitus
- artificial intelligence
- type i error
- diabetic patients
- intrusion detection
- detecting anomalies
- anomalous behavior
- short term
- intrusion detection system
- one class support vector machines
- detecting anomalous
- network traffic
- computational intelligence
- software engineering
- network intrusion detection
- detect anomalies
- network security
- network anomaly detection
- fuzzy logic
- expert systems
- unsupervised learning
- neural network
- dimensionality reduction