DocumentCode
2249674
Title
Research on examination of broiler price periods in data mining
Author
Lin, Xu-dong ; Yan, Shang-wei ; Lin, Pi-yuan ; Huang, Pei-jie
Author_Institution
Coll. of Inf., South China Agric. Univ., Guangzhou, China
Volume
5
fYear
2010
fDate
11-14 July 2010
Firstpage
2434
Lastpage
2438
Abstract
The Examination of broiler price periods is very important in forecasting broiler price for the poultry breeding industry because it is beneficial to maximizing the profit and minimizing the risk. As wavelet transforms are well known to work well for reducing the noise of the data, in this paper we perform wavelet transforms and pork prices to de-noise the broiler prices, and then apply variance analysis to calculate length of the broiler price periods.
Keywords
data mining; financial data processing; pricing; wavelet transforms; broiler price periods; data mining; forecasting; poultry breeding industry; wavelet transforms; Forecasting; Machine learning; Power systems; Time series analysis; Wavelet analysis; Wavelet transforms; Correlation coefficient; Price periods; Time series; Variance analysis; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location
Qingdao
Print_ISBN
978-1-4244-6526-2
Type
conf
DOI
10.1109/ICMLC.2010.5580750
Filename
5580750
Link To Document