Semantic-based false alarm detection approach via machine learning.
Meiyuan QianJun LuoYu GeChen SunXiuting GeWanmin HuangPublished in: QRS Companion (2021)
Keyphrases
- false alarms
- machine learning
- detection rate
- false alarm rate
- number of false alarms
- false positives
- target detection
- high rate
- detection accuracy
- artificial intelligence
- natural language processing
- machine learning algorithms
- support vector machine
- machine learning methods
- pattern recognition
- face detection
- feature selection
- decision trees
- data mining
- knowledge acquisition
- supervised learning
- computer science
- information extraction
- worm detection
- automatic detection
- detection algorithm
- multi class
- computational cost