Predictions for Yields of Huabei Liquefied Petroleum Gas by Using the Classical Apriori Algorithm Model |
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Authors: | Y. Zhang |
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Affiliation: | Library, Liaoning Shihua University, Fushun, Liaoning, China |
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Abstract: | The classical Apriori algorithm model for predicting yields of Huabei liquefied petroleum gas have been introduced based on Visual FoxPro software in the present article. The experimental results show that the classical Apriori algorithm model can predict yields of Huabei liquefied petroleum gas and the experimental data are in agreement with the quantitative analytic conclusions drawn from the predicted data. This proves that it can be used to predict yields of Huabei liquefied petroleum gas. It results in good economic and social benefits for Chinese chemical plant. |
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Keywords: | prediction yield Huabei liquefied petroleum gas classical a priori algorithm model |
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