Using Data Mining for Wine Quality Assessment
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- Authors
- Cortez, P., Teixeira, J., Cerdeira, A., Almeida, F., Matos, T., & Reis, J.
- Affiliations
- Centro ALGORITMI (PT)
- Venue
- Lecture Notes in Computer Science
- Publisher
- Springer Berlin Heidelberg
- Published
- 2009
- Pages
- 66-79
- ISSN
- 0302-9743 (ISSN-L)
- 1611-3349
- OpenAlex
- W1560484089
- Cited by
- 60
- References
- 34
- Citations by year
- 2026: 2 · 2025: 5 · 2024: 5 · 2023: 3 · 2022: 11 · 2021: 6 · 2020: 4 · 2019: 5 · 2018: 2 · 2017: 3 · 2016: 1 · 2015: 2 · 2014: 1 · 2013: 1 · 2012: 1
- FWCI
- 2.24
- Type
- conference paper
- Language
- en
- Open access
- green
- hdl.handle.net
- Licence
- Locations
- Lecture notes in computer science (publishedVersion)
- Portuguese National Funding Agency for Science, Research and Technology (RCAAP Project by FCT) (submittedVersion, other-oa)
- Topics
- Physical Sciences › Computer Science › Information Systems › Data Mining and Machine Learning Applications
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Keywords
- wine quality assessment, Vinho Verde, white wine, sensory evaluation, ordinal regression, sensitivity analysis, feature selection, support vector machine, wine certification, Minho region
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