| Title |
A state-of-the-art survey of malware detection approaches using data mining techniques
|
|---|---|
| Published in |
Human-centric Computing and Information Sciences, January 2018
|
| DOI | 10.1186/s13673-018-0125-x |
| Authors |
Alireza Souri, Rahil Hosseini |
Mendeley readers
The data shown below were compiled from readership statistics for 587 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 587 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 87 | 15% |
| Student > Ph. D. Student | 66 | 11% |
| Student > Doctoral Student | 41 | 7% |
| Lecturer | 37 | 6% |
| Student > Bachelor | 36 | 6% |
| Other | 69 | 12% |
| Unknown | 251 | 43% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 255 | 43% |
| Engineering | 26 | 4% |
| Unspecified | 11 | 2% |
| Business, Management and Accounting | 8 | 1% |
| Agricultural and Biological Sciences | 4 | <1% |
| Other | 15 | 3% |
| Unknown | 268 | 46% |