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

作者：

Highlights：

• We used data mining with ICP-MS to classify grape juice.

• An accuracy above 89% was obtained with SVM.

• Our method can be used for authentication purposes of other foods.

摘要

•We used data mining with ICP-MS to classify grape juice.•An accuracy above 89% was obtained with SVM.•Our method can be used for authentication purposes of other foods.

论文关键词：Feature selection,Data mining,Classification,Support vector machines,Neural networks

论文评审过程：Received 3 August 2015, Revised 27 November 2015, Accepted 29 November 2015, Available online 18 December 2015, Version of Record 5 January 2016.

论文官网地址：https://doi.org/10.1016/j.eswa.2015.11.024