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- W2772248081 abstract "Judging from the current situation of Chinese highway maintenance,only after there is highway distress would the staff have a repair, that results in the poor efficiency of highway maintenance. In order to improve the efficiency of highway maintenance,this paper will use data mining technology to predict the pavement performance of highway and analyze the main factors of pavement performance attenuation,so that the preventive maintenance can be carried out.We will provide data support to the preventive maintenance of highway by using the isolation Forest anomaly detection algorithm to have a data pretreatment, the regression model and time series GM (1,1) model to predict the pavement performance and the association rule analysis and isolation Forest to analyze the main factors of pavement performance attenuation." @default.
- W2772248081 created "2017-12-22" @default.
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- W2772248081 date "2017-01-01" @default.
- W2772248081 modified "2023-09-26" @default.
- W2772248081 title "The Preventive Maintenance of Highway Based on Data Mining" @default.
- W2772248081 cites W2296719434 @default.
- W2772248081 doi "https://doi.org/10.1051/matecconf/201713900084" @default.
- W2772248081 hasPublicationYear "2017" @default.
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