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Data mining application for upgrading quality of wine production

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2 Author(s)
Haishan Tian ; Economic Information Engineering School, Southwestern University of Finance & Economics, Chengdu, China, 610074 ; Qiaohong Pang

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