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- W2388035273 abstract "Prompt and effective terminal congestion prediction is critical for management administration to take corresponding actions and improve service quality.This study proposes the method based on regression models.Utilizing existing historical data to get most relevant properties and using them as variables,this work applies two kinds of regression analysis algorithms,i.e,Ordinary Least Squares(OLS) and Supporting Vector Regression(SVR).Experiments on real datasets show that the proposed methods are highly effective and capable." @default.
- W2388035273 created "2016-06-24" @default.
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- W2388035273 date "2015-01-01" @default.
- W2388035273 modified "2023-09-23" @default.
- W2388035273 title "Terminal Congestion Prediction Based on Regression Analysis" @default.
- W2388035273 hasPublicationYear "2015" @default.
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