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Application of Support Vector Machines to Melissopalynological Data for Honey Classification.
Giovanna Aronne
Veronica De Micco
Mario Rosario Guarracino
Published in:
Int. J. Agric. Environ. Inf. Syst. (2010)
Keyphrases
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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