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Mendeley readers
Chapter title |
Machine Learning for Credit Card Fraud Detection
|
---|---|
Chapter number | 20 |
Book title |
WITS 2020
|
Published by |
Springer, Singapore, January 2022
|
DOI | 10.1007/978-981-33-6893-4_20 |
Book ISBNs |
978-9-81-336892-7, 978-9-81-336893-4
|
Authors |
Moumeni, Loubna, Saber, Mohammed, Slimani, Ilham, Elfarissi, Ilhame, Bougroun, Zineb |
Mendeley readers
The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 166 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 12 | 7% |
Student > Bachelor | 9 | 5% |
Unspecified | 6 | 4% |
Lecturer | 5 | 3% |
Researcher | 5 | 3% |
Other | 16 | 10% |
Unknown | 113 | 68% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 24 | 14% |
Engineering | 8 | 5% |
Unspecified | 6 | 4% |
Economics, Econometrics and Finance | 3 | 2% |
Business, Management and Accounting | 3 | 2% |
Other | 10 | 6% |
Unknown | 112 | 67% |