Data Mining for Forecasting the Broiler Price Using Wavelet Transform

Abstract Forecasting the price of chicken plays a crucial important role in the poultry raising industry because it is beneficial to maximize the profit and minimize the risk. Its goal is to accurately predict the price in future based on the data obtained. ARMA is the classical time series prediction method and wavelet transform is well known to work well for reducing the noise of the data. In this paper, we perform ARMA with wavelet transform to get high accuracy of the chicken price forecasting.

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