Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods: Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods

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Title: Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods: Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods
Authors: Fahimifar, Sepideh1 (AUTHOR), Mousavi, Khadijeh2 (AUTHOR), Mozaffari, Fatemeh3 (AUTHOR), Ausloos, Marcel4,5,6 (AUTHOR) ma683@le.ac.uk
Source: Quality & Quantity. Aug2023, Vol. 57 Issue 4, p3685-3712. 28p.
Database: Sociology Source Ultimate
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  Data: Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods: Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods
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  Data: <searchLink fieldCode="JN" term="%22Quality+%26+Quantity%22">Quality & Quantity</searchLink>. Aug2023, Vol. 57 Issue 4, p3685-3712. 28p.
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        Value: 10.1007/s11135-022-01480-z
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        Text: English
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      – TitleFull: Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods: Identification of the most important external features of highly cited scholarly papers through 3 (i.e., Ridge, Lasso, and Boruta) feature selection data mining methods
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              Text: Aug2023
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              Y: 2023
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