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Mendeley readers
| Chapter title |
Data Mining Application for Cyber Credit-Card Fraud Detection System
|
|---|---|
| Chapter number | 17 |
| Book title |
Advances in Data Mining. Applications and Theoretical Aspects
|
| Published by |
Springer, Berlin, Heidelberg, July 2013
|
| DOI | 10.1007/978-3-642-39736-3_17 |
| Book ISBNs |
978-3-64-239735-6, 978-3-64-239736-3
|
| Authors |
John Akhilomen, Akhilomen, John |
Mendeley readers
The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Indonesia | 1 | 1% |
| United Kingdom | 1 | 1% |
| Sweden | 1 | 1% |
| Taiwan | 1 | 1% |
| Unknown | 79 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 28 | 34% |
| Student > Bachelor | 13 | 16% |
| Student > Ph. D. Student | 9 | 11% |
| Student > Doctoral Student | 6 | 7% |
| Researcher | 6 | 7% |
| Other | 10 | 12% |
| Unknown | 11 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 48 | 58% |
| Engineering | 11 | 13% |
| Economics, Econometrics and Finance | 5 | 6% |
| Mathematics | 2 | 2% |
| Business, Management and Accounting | 1 | 1% |
| Other | 4 | 5% |
| Unknown | 12 | 14% |