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- W2372389762 abstract "Aiming at the problem of the lack of high risk projects'data,a hybrid intelligent model of project risk prediction based on distance evaluation and Support Vector Data Description(SVDD) is proposed.By estimating the capacity of each traditional indicator in evaluating project risk,the sensitive features can be selected and input into SVDD to identify different conditions of project risk automatically.The results of the demonstration show that the model is efficient to extract the sensitive features,reduce the dimension of the data,and improve the veracity and reliability of one-class classification in intelligent risk prediction significantly." @default.
- W2372389762 created "2016-06-24" @default.
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- W2372389762 date "2010-01-01" @default.
- W2372389762 modified "2023-09-23" @default.
- W2372389762 title "Hybrid intelligent model of project risk prediction and its application" @default.
- W2372389762 hasPublicationYear "2010" @default.
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