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Mendeley readers
| Title |
Feature Selection for Knowledge Discovery and Data Mining
|
|---|---|
| Published by |
Springer US, December 2012
|
| DOI | 10.1007/978-1-4615-5689-3 |
| ISBNs |
978-1-4613-7604-0, 978-1-4615-5689-3
|
| Authors |
Liu, Huan, Motoda, Hiroshi |
Mendeley readers
The data shown below were compiled from readership statistics for 500 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 1% |
| United Kingdom | 3 | <1% |
| France | 2 | <1% |
| Germany | 2 | <1% |
| Spain | 2 | <1% |
| Hong Kong | 1 | <1% |
| Australia | 1 | <1% |
| Italy | 1 | <1% |
| Switzerland | 1 | <1% |
| Other | 7 | 1% |
| Unknown | 474 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 118 | 24% |
| Student > Master | 76 | 15% |
| Researcher | 53 | 11% |
| Student > Bachelor | 34 | 7% |
| Professor > Associate Professor | 24 | 5% |
| Other | 88 | 18% |
| Unknown | 107 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 202 | 40% |
| Engineering | 81 | 16% |
| Business, Management and Accounting | 14 | 3% |
| Agricultural and Biological Sciences | 12 | 2% |
| Mathematics | 10 | 2% |
| Other | 53 | 11% |
| Unknown | 128 | 26% |