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Mendeley readers
| Chapter title |
Rule Extraction from Neural Networks and Support Vector Machines for Credit Scoring
|
|---|---|
| Chapter number | 13 |
| Book title |
Data Mining: Foundations and Intelligent Paradigms
|
| Published by |
Springer, Berlin, Heidelberg, January 2012
|
| DOI | 10.1007/978-3-642-23151-3_13 |
| Book ISBNs |
978-3-64-223150-6, 978-3-64-223151-3
|
| Authors |
Rudy Setiono, Bart Baesens, David Martens, Setiono, Rudy, Baesens, Bart, Martens, David |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Japan | 1 | 6% |
| Unknown | 16 | 94% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 24% |
| Student > Ph. D. Student | 4 | 24% |
| Librarian | 2 | 12% |
| Other | 1 | 6% |
| Student > Bachelor | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 2 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 24% |
| Engineering | 3 | 18% |
| Economics, Econometrics and Finance | 2 | 12% |
| Business, Management and Accounting | 1 | 6% |
| Decision Sciences | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 5 | 29% |