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Mendeley readers
| Chapter title |
Rule Extraction from Support Vector Machines
|
|---|---|
| Chapter number | 10 |
| Book title |
Data Mining with Computational Intelligence
|
| Published by |
Springer, Berlin, Heidelberg, January 2005
|
| DOI | 10.1007/3-540-28803-1_10 |
| Book ISBNs |
978-3-54-024522-3, 978-3-54-028803-9
|
Mendeley readers
The data shown below were compiled from readership statistics for 66 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 2% |
| Ireland | 1 | 2% |
| United Kingdom | 1 | 2% |
| Spain | 1 | 2% |
| United States | 1 | 2% |
| Unknown | 61 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 18 | 27% |
| Researcher | 10 | 15% |
| Student > Master | 9 | 14% |
| Student > Doctoral Student | 6 | 9% |
| Student > Bachelor | 6 | 9% |
| Other | 10 | 15% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 44% |
| Engineering | 9 | 14% |
| Agricultural and Biological Sciences | 3 | 5% |
| Energy | 2 | 3% |
| Economics, Econometrics and Finance | 1 | 2% |
| Other | 8 | 12% |
| Unknown | 14 | 21% |