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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

news
1 news outlet
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4 X users

Readers on

mendeley
530 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 530 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 520 98%

Demographic breakdown

Readers by professional status Count As %
Student > Master 92 17%
Student > Ph. D. Student 83 16%
Researcher 53 10%
Student > Bachelor 48 9%
Student > Doctoral Student 25 5%
Other 56 11%
Unknown 173 33%
Readers by discipline Count As %
Computer Science 140 26%
Engineering 72 14%
Mathematics 15 3%
Agricultural and Biological Sciences 15 3%
Biochemistry, Genetics and Molecular Biology 10 2%
Other 87 16%
Unknown 191 36%