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Mendeley readers
| Title |
Resampling imbalanced data for network intrusion detection datasets
|
|---|---|
| Published in |
Journal of Big Data, January 2021
|
| DOI | 10.1186/s40537-020-00390-x |
| Authors |
Sikha Bagui, Kunqi Li |
Mendeley readers
The data shown below were compiled from readership statistics for 209 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 209 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 16 | 8% |
| Student > Master | 15 | 7% |
| Student > Ph. D. Student | 14 | 7% |
| Student > Bachelor | 7 | 3% |
| Student > Doctoral Student | 7 | 3% |
| Other | 26 | 12% |
| Unknown | 124 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 52 | 25% |
| Engineering | 17 | 8% |
| Unspecified | 4 | 2% |
| Agricultural and Biological Sciences | 2 | <1% |
| Mathematics | 2 | <1% |
| Other | 9 | 4% |
| Unknown | 123 | 59% |