Research on examination of broiler price periods in data mining

Xu-Dong Lin,Shang-Wei Yan,Pi-Yuan Lin,Pei-Jie Huang

ICMLC（2010）

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摘要

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.

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关键词

correlation coefficient,variance analysis,forecasting,price periods,wavelet transforms,financial data processing,poultry breeding industry,broiler price periods,time series,data mining,pricing,wavelet analysis,power systems,wavelet transform,time series analysis,profitability,machine learning

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