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X Demographics
Mendeley readers
Title |
Machine Learning Approaches in Cyber Security Analytics
|
---|---|
Published by |
Springer Singapore, April 2020
|
DOI | 10.1007/978-981-15-1706-8 |
ISBNs |
978-9-81-151705-1, 978-9-81-151706-8
|
Authors |
Thomas, Tony, P. Vijayaraghavan, Athira, Emmanuel, Sabu |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 121 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 13 | 11% |
Student > Ph. D. Student | 11 | 9% |
Other | 7 | 6% |
Student > Postgraduate | 7 | 6% |
Student > Doctoral Student | 7 | 6% |
Other | 30 | 25% |
Unknown | 46 | 38% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 50 | 41% |
Engineering | 11 | 9% |
Economics, Econometrics and Finance | 3 | 2% |
Chemical Engineering | 2 | 2% |
Chemistry | 2 | 2% |
Other | 7 | 6% |
Unknown | 46 | 38% |