Referenced Items are not available for this document.
We propose a data mining approach to predict the wine's quality level in order to improve the quality of products for wine enterprises in this paper. A large dataset is considered and three regression techniques were applied. Through the comparison, we get the conclusion that the model established by neural network is more accurate and it can improve the quality of wine's production.
Published in:
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Date of Conference: 17-19 Dec. 2010
- Page(s):
- 109 - 111
- Print ISBN:
- 978-1-4244-8025-8
- INSPEC Accession Number:
- 11806968
- Conference Location :
- Chengdu
- Digital Object Identifier :
- 10.1109/ICACIA.2010.5709862
- Product Type:
- Conference Publications
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