Modeling wine preferences by data mining from physicochemical properties

Volume: 47, Issue: 4, Pages: 547 - 553
Published: Nov 1, 2009
Abstract
We propose a data mining approach to predict human wine taste preferences that is based on easily available analytical tests at the certification step. A large dataset (when compared to other studies in this domain) is considered, with white and red vinho verde samples (from Portugal). Three regression techniques were applied, under a computationally efficient procedure that performs simultaneous variable and model selection. The support vector...
Paper Details
Title
Modeling wine preferences by data mining from physicochemical properties
Published Date
Nov 1, 2009
Volume
47
Issue
4
Pages
547 - 553
Citation AnalysisPro
  • Scinapse’s Top 10 Citation Journals & Affiliations graph reveals the quality and authenticity of citations received by a paper.
  • Discover whether citations have been inflated due to self-citations, or if citations include institutional bias.