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X Demographics
Mendeley readers
Chapter title |
Classifying Very-High-Dimensional Data with Random Forests of Oblique Decision Trees
|
---|---|
Chapter number | 3 |
Book title |
Advances in Knowledge Discovery and Management
|
Published by |
Springer Berlin Heidelberg, January 2016
|
DOI | 10.1007/978-3-642-00580-0_3 |
Book ISBNs |
978-3-64-200579-4, 978-3-64-200580-0
|
Authors |
Thanh-Nghi Do, Philippe Lenca, Stéphane Lallich, Nguyen-Khang Pham, Do, Thanh-Nghi, Lenca, Philippe, Lallich, Stéphane, Pham, Nguyen-Khang |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 50% |
Unknown | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 50% |
Scientists | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 1 | 3% |
Spain | 1 | 3% |
Unknown | 33 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 17% |
Student > Ph. D. Student | 4 | 11% |
Student > Bachelor | 3 | 9% |
Professor | 3 | 9% |
Student > Doctoral Student | 2 | 6% |
Other | 8 | 23% |
Unknown | 9 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 23% |
Engineering | 5 | 14% |
Mathematics | 4 | 11% |
Unspecified | 1 | 3% |
Arts and Humanities | 1 | 3% |
Other | 4 | 11% |
Unknown | 12 | 34% |