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Learning from Imbalanced Data Sets

Overview of attention for book
Overall attention for this book and its chapters
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Mentioned by

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1 news outlet
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4 X users

Citations

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797 Dimensions

Readers on

mendeley
534 Mendeley
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Title
Learning from Imbalanced Data Sets
Published by
Springer International Publishing, October 2018
DOI 10.1007/978-3-319-98074-4
ISBNs
978-3-31-998073-7, 978-3-31-998074-4
Authors

Fernández, Alberto, García, Salvador, Galar, Mikel, Prati, Ronaldo C., Krawczyk, Bartosz, Herrera, Francisco

X Demographics

X Demographics

The data shown below were collected from the profiles of 4 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 534 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 <1%
Colombia 1 <1%
France 1 <1%
Finland 1 <1%
Hong Kong 1 <1%
Belgium 1 <1%
Canada 1 <1%
Unknown 524 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 92 17%
Student > Ph. D. Student 83 16%
Researcher 53 10%
Student > Bachelor 49 9%
Student > Doctoral Student 25 5%
Other 58 11%
Unknown 174 33%
Readers by discipline Count As %
Computer Science 139 26%
Engineering 75 14%
Mathematics 16 3%
Agricultural and Biological Sciences 15 3%
Biochemistry, Genetics and Molecular Biology 10 2%
Other 87 16%
Unknown 192 36%