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Mendeley readers
| Chapter title |
Machine Learning Methods for Imbalanced Data
|
|---|---|
| Chapter number | 5 |
| Book title |
Statistical Methods for Imbalanced Data in Ecological and Biological Studies
|
| Published by |
Springer, Tokyo, January 2019
|
| DOI | 10.1007/978-4-431-55570-4_5 |
| Book ISBNs |
978-4-43-155569-8, 978-4-43-155570-4
|
| Authors |
Osamu Komori, Shinto Eguchi, Komori, Osamu, Eguchi, Shinto |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 25% |
| Student > Master | 1 | 25% |
| Unknown | 2 | 50% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 1 | 25% |
| Social Sciences | 1 | 25% |
| Unknown | 2 | 50% |