You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Applying Support Vector Machines to Imbalanced Datasets
|
---|---|
Chapter number | 7 |
Book title |
Machine Learning: ECML 2004
|
Published by |
Springer Berlin Heidelberg, January 2004
|
DOI | 10.1007/978-3-540-30115-8_7 |
Book ISBNs |
978-3-54-023105-9, 978-3-54-030115-8
|
Authors |
Rehan Akbani, Stephen Kwek, Nathalie Japkowicz, Akbani, Rehan, Kwek, Stephen, Japkowicz, Nathalie |
Editors |
Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti, Dino Pedreschi |
Mendeley readers
The data shown below were compiled from readership statistics for 616 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 12 | 2% |
United Kingdom | 7 | 1% |
Germany | 6 | <1% |
Canada | 6 | <1% |
Brazil | 3 | <1% |
Australia | 2 | <1% |
France | 2 | <1% |
Switzerland | 2 | <1% |
Norway | 1 | <1% |
Other | 14 | 2% |
Unknown | 561 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 166 | 27% |
Student > Master | 122 | 20% |
Researcher | 72 | 12% |
Student > Bachelor | 37 | 6% |
Student > Doctoral Student | 34 | 6% |
Other | 88 | 14% |
Unknown | 97 | 16% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 265 | 43% |
Engineering | 87 | 14% |
Mathematics | 28 | 5% |
Agricultural and Biological Sciences | 23 | 4% |
Medicine and Dentistry | 18 | 3% |
Other | 76 | 12% |
Unknown | 119 | 19% |