You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
| Chapter title |
A New Over-Sampling Approach: Random-SMOTE for Learning from Imbalanced Data Sets
|
|---|---|
| Chapter number | 30 |
| Book title |
Knowledge Science, Engineering and Management
|
| Published by |
Springer, Berlin, Heidelberg, December 2011
|
| DOI | 10.1007/978-3-642-25975-3_30 |
| Book ISBNs |
978-3-64-225974-6, 978-3-64-225975-3
|
| Authors |
Yanjie Dong, Xuehua Wang |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Iran, Islamic Republic of | 1 | 3% |
| France | 1 | 3% |
| Unknown | 35 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 7 | 19% |
| Student > Ph. D. Student | 5 | 14% |
| Student > Postgraduate | 3 | 8% |
| Researcher | 3 | 8% |
| Other | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 15 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 9 | 24% |
| Engineering | 7 | 19% |
| Economics, Econometrics and Finance | 2 | 5% |
| Mathematics | 1 | 3% |
| Unknown | 18 | 49% |