Research on examination of broiler price periods in data mining
- Resource Type
- Conference
- Authors
- Lin, Xu-Dong; Yan, Shang-Wei; Lin, Pi-Yuan; Huang, Pei-Jie
- Source
- 2010 International Conference on Machine Learning and Cybernetics Machine Learning and Cybernetics (ICMLC), 2010 International Conference on. 5:2434-2438 Jul, 2010
- Subject
- Computing and Processing
Communication, Networking and Broadcast Technologies
Wavelet transforms
Time series analysis
Wavelet analysis
Forecasting
Power systems
Machine learning
Correlation coefficient
Variance analysis
Time series
Price periods
- Language
- ISSN
- 2160-133X
2160-1348
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.