On the Understanding of Anomalies in the Oculography Data and Their Classification with an Application of Fuzzy Aggregators.
Michal DoleckiPawel KarczmarekLukasz GalkaMalgorzata Plechawska-WójcikMonika KaczorowskaMikhail TokovarovDariusz CzerwinskiPublished in: FUZZ-IEEE (2022)
Keyphrases
- data sets
- data processing
- original data
- classification method
- training data
- data collection
- data analysis
- data points
- raw data
- data distribution
- image data
- database
- data sources
- data structure
- machine learning
- classification accuracy
- pattern recognition
- support vector
- data reduction
- decision trees
- clustering analysis
- neural network
- learning algorithm
- classification algorithm
- spatial data
- missing data
- synthetic data
- high quality
- text classification