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Mendeley readers
Chapter title |
Feature Selection for High-Dimensional Data: A Kolmogorov-Smirnov Correlation-Based Filter
|
---|---|
Chapter number | 9 |
Book title |
Computer Recognition Systems
|
Published by |
Springer, Berlin, Heidelberg, January 2005
|
DOI | 10.1007/3-540-32390-2_9 |
Book ISBNs |
978-3-54-025054-8, 978-3-54-032390-7
|
Authors |
Jacek Biesiada, Włodzisław Duch |
Mendeley readers
The data shown below were compiled from readership statistics for 158 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Malaysia | 1 | <1% |
Russia | 1 | <1% |
Greece | 1 | <1% |
Poland | 1 | <1% |
Unknown | 154 | 97% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 17 | 11% |
Researcher | 14 | 9% |
Student > Master | 12 | 8% |
Student > Doctoral Student | 4 | 3% |
Professor > Associate Professor | 3 | 2% |
Other | 8 | 5% |
Unknown | 100 | 63% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 29 | 18% |
Engineering | 5 | 3% |
Agricultural and Biological Sciences | 3 | 2% |
Chemistry | 3 | 2% |
Physics and Astronomy | 2 | 1% |
Other | 12 | 8% |
Unknown | 104 | 66% |