| 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 206 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 206 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 17 | 8% |
| Student > Master | 14 | 7% |
| Student > Ph. D. Student | 14 | 7% |
| Student > Bachelor | 7 | 3% |
| Student > Doctoral Student | 7 | 3% |
| Other | 26 | 13% |
| Unknown | 121 | 59% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 53 | 26% |
| Engineering | 17 | 8% |
| Unspecified | 4 | 2% |
| Agricultural and Biological Sciences | 2 | <1% |
| Psychology | 2 | <1% |
| Other | 8 | 4% |
| Unknown | 120 | 58% |