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Mendeley readers
| Chapter title |
An Analysis of Local and Global Solutions to Address Big Data Imbalanced Classification: A Case Study with SMOTE Preprocessing
|
|---|---|
| Chapter number | 7 |
| Book title |
Cloud Computing and Big Data
|
| Published by |
Springer, Cham, June 2019
|
| DOI | 10.1007/978-3-030-27713-0_7 |
| Book ISBNs |
978-3-03-027712-3, 978-3-03-027713-0
|
| Authors |
María José Basgall, Waldo Hasperué, Marcelo Naiouf, Alberto Fernández, Francisco Herrera |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 23 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 13% |
| Professor > Associate Professor | 3 | 13% |
| Student > Doctoral Student | 2 | 9% |
| Student > Bachelor | 2 | 9% |
| Professor | 1 | 4% |
| Other | 5 | 22% |
| Unknown | 7 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 11 | 48% |
| Engineering | 3 | 13% |
| Economics, Econometrics and Finance | 1 | 4% |
| Unknown | 8 | 35% |