DocumentCode
2473687
Title
Data mining application for upgrading quality of wine production
Author
Tian, Haishan ; Pang, Qiaohong
Author_Institution
Economic Inf. Eng. Sch., Southwestern Univ. of Finance & Econ., Chengdu, China
fYear
2010
fDate
17-19 Dec. 2010
Firstpage
109
Lastpage
111
Abstract
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.
Keywords
data mining; neural nets; production engineering computing; regression analysis; wine industry; data mining; neural network; regression techniques; wine enterprises; wine production quality; Accuracy; Adaptation model; Artificial neural networks; Biological system modeling; Data mining; Data models; Predictive models; Data mining; Model selection; Neural network; Regression; wine´s quality;
fLanguage
English
Publisher
ieee
Conference_Titel
Apperceiving Computing and Intelligence Analysis (ICACIA), 2010 International Conference on
Conference_Location
Chengdu
Print_ISBN
978-1-4244-8025-8
Type
conf
DOI
10.1109/ICACIA.2010.5709862
Filename
5709862
Link To Document