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Mendeley readers
Chapter title |
Using Data Complexity Measures for Thresholding in Feature Selection Rankers
|
---|---|
Chapter number | 12 |
Book title |
Advances in Artificial Intelligence
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-44636-3_12 |
Book ISBNs |
978-3-31-944635-6, 978-3-31-944636-3
|
Authors |
Borja Seijo-Pardo, Verónica Bolón-Canedo, Amparo Alonso-Betanzos |
Editors |
Oscar Luaces, José A. Gámez, Edurne Barrenechea, Alicia Troncoso, Mikel Galar, Héctor Quintián, Emilio Corchado |
Mendeley readers
The data shown below were compiled from readership statistics for 19 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 19 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 21% |
Student > Master | 3 | 16% |
Professor | 2 | 11% |
Student > Doctoral Student | 1 | 5% |
Unspecified | 1 | 5% |
Other | 3 | 16% |
Unknown | 5 | 26% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 42% |
Unspecified | 1 | 5% |
Biochemistry, Genetics and Molecular Biology | 1 | 5% |
Decision Sciences | 1 | 5% |
Social Sciences | 1 | 5% |
Other | 2 | 11% |
Unknown | 5 | 26% |