Toward Autonomous Detection of Anomalous GNSS Data Via Applied Unsupervised Artificial Intelligence.
Mike DyeD. Sarah StampsMyles MasonElifuraha SariaPublished in: Int. J. Semantic Comput. (2022)
Keyphrases
- artificial intelligence
- database
- training data
- data quality
- data processing
- image data
- knowledge discovery
- data sets
- statistical analysis
- data collection
- data mining techniques
- data analysis
- data structure
- end users
- data acquisition
- high quality
- database systems
- spatial data
- machine learning
- synthetic data
- decision trees
- neural network
- original data
- data distribution
- anomaly detection
- data mining
- computer science
- input data
- probability distribution
- training set
- association rules