Modeling wine preferences by data mining from physicochemical properties

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 regressi...

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Bibliographic Details
Main Author: Cortez, Paulo (author)
Other Authors: Cerdeira, António (author), Almeida, Fernando (author), Matos, Telmo (author), Reis, José (author)
Format: article
Language:eng
Published: 2009
Subjects:
Sensory preferences
Regression
Variable selection
Model selection
Suppor vector machines
Neural networks
Support vector machines
Science & Technology
Online Access:http://hdl.handle.net/1822/10029
Country:Portugal
Oai:oai:repositorium.sdum.uminho.pt:1822/10029

Internet

http://hdl.handle.net/1822/10029

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