Using data mining for wine quality assessment

Certification and quality assessment are crucial issues within the wine industry. Currently, wine quality is mostly assessed by physico- chemical (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...

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Bibliographic Details
Main Author: Cortez, Paulo (author)
Other Authors: Teixeira, Juliana (author), Cerdeira, António (author), Almeida, Fernando (author), Matos, Telmo (author), Reis, José (author)
Format: conferencePaper
Language:eng
Published: 2009
Subjects:
Ordinal regression
Sensitivity analysis
Sensory preferences
Support vector machines
Variable and model selection
Wine science
Science & Technology
Online Access:http://hdl.handle.net/1822/10042
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/10042

Internet

http://hdl.handle.net/1822/10042

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