Using Data Mining for Wine Quality Assessment

Abstract

Certification and quality assessment are crucial issues within the wine industry. Currently, wine quality is mostly assessed by physicochemical (e.g alcohol levels) and sensory (e.g. human expert evaluation) tests. In this paper, we propose a data mining approach to predict wine preferences that is based on easily available analytical tests at the… (More)
DOI: 10.1007/978-3-642-04747-3_8

Topics

6 Figures and Tables

Statistics

0102030201520162017
Citations per Year

Citation Velocity: 6

Averaging 6 citations per year over the last 3 years.

Learn more about how we calculate this metric in our FAQ.

Cite this paper

@inproceedings{Cortez2009UsingDM, title={Using Data Mining for Wine Quality Assessment}, author={Paulo Cortez and Juliana Teixeira and Ant{\'o}nio Cerdeira and Fernando Almeida and Telmo Matos and Jos{\'e} Reis}, booktitle={Discovery Science}, year={2009} }