Comparative study of data mining techniques for the authentication of organic grape juice based on ICP-MS analysis

Expert Systems with Applications

Volumn 49, Issue , 2016, Pages 60-73

  Maione, Camila ^a   De Paula, Eloisa Silva ^b   Gallimberti, Matheus ^b   Batista, Bruno Lemos ^b   Campiglia, Andres Dobal ^c   Barbosa, Fernando ^b   Barbosa, Rommel Melgaço ^a  

^a FEDERAL UNIVERSITY OF GOIÁS   (Brazil)

^b UNIVERSITY OF SÃO PAULO   (Brazil)

^c UNIVERSITY OF CENTRAL FLORIDA   (United States)

Author keywords

Classification; Data mining; Feature selection; Neural networks; Support vector machines

Indexed keywords

CLASSIFICATION (OF INFORMATION); DECISION TREES; FEATURE EXTRACTION; FRUIT JUICES; INDUCTIVELY COUPLED PLASMA MASS SPECTROMETRY; MASS SPECTROMETERS; MASS SPECTROMETRY; NEURAL NETWORKS; SODIUM; SUPPORT VECTOR MACHINES; TIN;

COMPARATIVE STUDIES; ELEMENTAL COMPOSITIONS; INDUCTIVELY COUPLED PLASMA MASS SPECTROMETRIES (ICPMS); LABEL INFORMATION; MINERAL COMPONENT; PREDICTIVE MODELS; VARIABLE SELECTION; VARIABLE SELECTION METHODS;

DATA MINING;

EID: 84953400121     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2015.11.024     Document Type: Article

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