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Mendeley readers
| Chapter title |
Imbalanced Classification for Big Data
|
|---|---|
| Chapter number | 13 |
| Book title |
Learning from Imbalanced Data Sets
|
| Published by |
Springer, Cham, January 2018
|
| DOI | 10.1007/978-3-319-98074-4_13 |
| Book ISBNs |
978-3-31-998073-7, 978-3-31-998074-4
|
| Authors |
Alberto Fernández, Salvador García, Mikel Galar, Ronaldo C. Prati, Bartosz Krawczyk, Francisco Herrera |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Doctoral Student | 3 | 20% |
| Student > Master | 3 | 20% |
| Student > Ph. D. Student | 3 | 20% |
| Professor > Associate Professor | 2 | 13% |
| Researcher | 1 | 7% |
| Other | 1 | 7% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 47% |
| Engineering | 3 | 20% |
| Social Sciences | 2 | 13% |
| Economics, Econometrics and Finance | 1 | 7% |
| Unknown | 2 | 13% |