Research on examination of broiler price periods in data mining

Xuan Lin, Shangwei Yan, Pi-Yuan Lin, Pei-Jie Huang
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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.
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数据挖掘中肉鸡价格周期检验的研究
肉鸡价格周期的研究对肉鸡价格预测具有重要意义,有利于实现利润最大化和风险最小化。众所周知,小波变换可以很好地降低数据的噪声,因此本文采用小波变换和猪肉价格来去除肉鸡价格的噪声,然后应用方差分析来计算肉鸡价格周期的长度。
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