Application of Support Vector Machines to Melissopalynological Data for Honey Classification.
Giovanna AronneVeronica De MiccoMario Rosario GuarracinoPublished in: Int. J. Agric. Environ. Inf. Syst. (2010)
Keyphrases
- data sets
- synthetic data
- statistical analysis
- data collection
- data processing
- training data
- data analysis
- small number
- pattern recognition
- database
- sensor data
- image data
- classification accuracy
- data sources
- original data
- input data
- data reduction
- high quality
- computer systems
- missing data
- neural network
- raw data
- experimental data
- classification scheme
- bayesian methods
- high dimensional data
- model selection
- image classification
- data mining techniques
- end users
- xml documents
- feature vectors
- feature space
- feature selection