Anomaly Detection for Early Warning in Object-oriented Programming Course.
Shaoxiao LuXu WangHaici ZhouQing SunWenge RongJi WuPublished in: TALE (2021)
Keyphrases
- early warning
- anomaly detection
- programming course
- object oriented
- detecting anomalies
- intrusion detection
- programming language
- computer programming
- student learning
- data model
- network intrusion detection
- source code
- anomalous behavior
- decision support system
- network traffic
- unsupervised learning
- software engineering
- intrusion detection system
- query language
- relational databases
- detect anomalies
- negative selection algorithm
- financial markets
- expert systems
- artificial intelligence
- quantitative analysis
- feature space
- information systems
- learning algorithm