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X Demographics
Mendeley readers
Chapter title |
Detection of Credit Card Frauds with Machine Learning Solutions: An Experimental Approach
|
---|---|
Chapter number | 49 |
Book title |
Intelligent Computing
|
Published by |
Springer, Cham, January 2022
|
DOI | 10.1007/978-3-031-10461-9_49 |
Book ISBNs |
978-3-03-110460-2, 978-3-03-110461-9
|
Authors |
Mabani, Courage, Christou, Nikolaos, Katkov, Sergey |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Nigeria | 1 | 33% |
Unknown | 2 | 67% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 67% |
Members of the public | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 5 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 5 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Doctoral Student | 1 | 20% |
Student > Master | 1 | 20% |
Unknown | 3 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Business, Management and Accounting | 1 | 20% |
Computer Science | 1 | 20% |
Unknown | 3 | 60% |