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Mendeley readers
Chapter title |
Improving Random Forests
|
---|---|
Chapter number | 34 |
Book title |
Machine Learning: ECML 2004
|
Published by |
Springer Berlin Heidelberg, January 2004
|
DOI | 10.1007/978-3-540-30115-8_34 |
Book ISBNs |
978-3-54-023105-9, 978-3-54-030115-8
|
Authors |
Marko Robnik-Šikonja |
Editors |
Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi |
Mendeley readers
The data shown below were compiled from readership statistics for 287 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 6 | 2% |
France | 3 | 1% |
Germany | 2 | <1% |
Australia | 2 | <1% |
Ireland | 1 | <1% |
Austria | 1 | <1% |
Chile | 1 | <1% |
Switzerland | 1 | <1% |
United Kingdom | 1 | <1% |
Other | 6 | 2% |
Unknown | 263 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 75 | 26% |
Student > Master | 55 | 19% |
Researcher | 45 | 16% |
Student > Bachelor | 23 | 8% |
Student > Doctoral Student | 12 | 4% |
Other | 33 | 11% |
Unknown | 44 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 114 | 40% |
Engineering | 25 | 9% |
Environmental Science | 23 | 8% |
Agricultural and Biological Sciences | 21 | 7% |
Earth and Planetary Sciences | 11 | 4% |
Other | 42 | 15% |
Unknown | 51 | 18% |