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
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;
Conference_Titel :
Machine Learning and Cybernetics (ICMLC), 2010 International Conference on
Conference_Location :
Qingdao
Print_ISBN :
978-1-4244-6526-2
DOI :
10.1109/ICMLC.2010.5580750
