A machine learning technique in a multi-agent framework for online outliers detection in Wireless Sensor Networks.
Hugo MartinsFábio JanuárioLuís Brito PalmaAlberto CardosoPaulo GilPublished in: IECON (2015)
Keyphrases
- machine learning
- wireless sensor networks
- automatic detection
- detection algorithm
- pattern recognition
- object detection
- novelty detection
- artificial intelligence
- online learning
- detecting outliers
- false positives
- machine learning methods
- detection method
- data mining
- computational intelligence
- sensor networks
- information extraction
- wireless communication
- inductive learning
- statistical methods
- energy efficient
- missing data
- energy consumption
- anomaly detection
- knowledge acquisition
- active learning
- computer vision
- routing protocol
- outlier detection
- search engine
- learning tasks
- detection rate
- learning algorithm
- text mining
- detection accuracy
- explanation based learning
- decision trees