Anomaly Detection in Brazilian Federal Government Purchase Cards Through Unsupervised Learning Techniques.
Breno NunesTiago ColliriMarcelo LaurettoWeiguang LiuLiang ZhaoPublished in: BRACIS (2) (2021)
Keyphrases
- anomaly detection
- unsupervised learning
- federal government
- intrusion detection
- e government
- digital government
- intelligence community
- supervised learning
- detecting anomalies
- network intrusion detection
- expectation maximization
- semi supervised
- intrusion detection system
- machine learning
- dimensionality reduction
- network traffic
- anomalous behavior
- object recognition
- feature selection
- negative selection algorithm
- text classification
- network anomaly detection
- one class support vector machines
- network security
- electronic commerce
- normal behavior
- real world
- pattern recognition
- public sector
- subject matter
- face recognition
- learning algorithm
- computer networks
- principal component analysis
- knowledge management