Application of support vector machines to melissopalynological data for honey classifcation

International Journal of Agricultural and Environmental Information Systems

Volumn 1, Issue 2, 2010, Pages 85-94

  Aronne, Giovanna ^a   De Micco, Veronica ^a   Guarracino, Mario R ^b  

^a UNIVERSITY OF NAPLES FEDERICO II   (Italy)

^b CNR   (Italy)

Author keywords

Classifcation; Geographical Discrimination; Honey; Marker Species; Support Vector Machine

Indexed keywords

CLASSIFCATION; GEOGRAPHICAL DISCRIMINATION; GEOGRAPHICAL ORIGINS; HONEY; INNOVATIVE SOLUTIONS; MARKER SPECIES; SORRENTO; STATISTICAL LEARNING; Z-SCORES;

FOOD PRODUCTS;

SUPPORT VECTOR MACHINES;

ACCURACY ASSESSMENT; BIOMARKER; CLASSIFICATION; HONEY; PALYNOLOGY;

CAMPANIA [ITALY]; ITALY; NAPOLI [CAMPANIA]; SORRENTO PENINSULA;

EID: 84864571535     PISSN: 19473192     EISSN: 19473206     Source Type: Journal    
DOI: 10.4018/jaeis.2010070105     Document Type: Article

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