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Mendeley readers
| Chapter title |
Data Level Preprocessing Methods
|
|---|---|
| Chapter number | 5 |
| Book title |
Learning from Imbalanced Data Sets
|
| Published by |
Springer, Cham, January 2018
|
| DOI | 10.1007/978-3-319-98074-4_5 |
| 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 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 67 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 15% |
| Student > Doctoral Student | 4 | 6% |
| Unspecified | 4 | 6% |
| Student > Master | 4 | 6% |
| Student > Bachelor | 4 | 6% |
| Other | 8 | 12% |
| Unknown | 33 | 49% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 28% |
| Engineering | 9 | 13% |
| Unspecified | 4 | 6% |
| Mathematics | 1 | 1% |
| Environmental Science | 1 | 1% |
| Other | 2 | 3% |
| Unknown | 31 | 46% |