Comparative study of data mining techniques for the authentication of organic grape juice based on ICP-MS analysis
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- 作者：Camila Maionea ; camilamaione@inf.ufg.br" class="auth_mail" title="E-mail the corresponding author ; Eloisa Silva de Paulab ; ellodepaula@hotmail.com" class="auth_mail" title="E-mail the corresponding author ; Matheus Gallimbertib ; mateus.galimba@gmail.com" class="auth_mail" title="E-mail the corresponding author ; Bruno Lemos Batistab ; brlemosbr@yahoo.com.br" class="auth_mail" title="E-mail the corresponding author ; Andres Dobal Campigliac ; andres.campiglia@ucf.edu" class="auth_mail" title="E-mail the corresponding author ; Fernando Barbosa Jrb ; fbarbosa@fcfrp.usp.br" class="auth_mail" title="E-mail the corresponding author ; Rommel Melgaç ; o Barbosa ; a ; rommel@inf.ufg.br" class="auth_mail" title="E-mail the corresponding author ; rmbweb@gmail.com" class="auth_mail" title="E-mail the corresponding author
- 关键词：Feature selection ; Data mining ; Classification ; Support vector machines ; Neural networks
- 刊名：Expert Systems with Applications
- 出版年：2016
- 出版时间：1 May 2016
- 年：2016
- 卷：49
- 期：Complete
- 页码：60-73
- 全文大小：801 K
文摘
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We used data mining with ICP-MS to classify grape juice.
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An accuracy above 89% was obtained with SVM.
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Our method can be used for authentication purposes of other foods.