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 |
Support Vector Machines
|
---|---|
Chapter number | 12 |
Book title |
Data Mining and Knowledge Discovery Handbook
|
Published in |
ADS, January 2009
|
DOI | 10.1007/978-0-387-09823-4_12 |
Book ISBNs |
978-0-387-09822-7, 978-0-387-09823-4
|
Authors |
Armin Shmilovici |
Mendeley readers
The data shown below were compiled from readership statistics for 685 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 13 | 2% |
Germany | 6 | <1% |
United Kingdom | 6 | <1% |
Switzerland | 5 | <1% |
Canada | 5 | <1% |
Brazil | 4 | <1% |
Australia | 4 | <1% |
India | 4 | <1% |
Italy | 3 | <1% |
Other | 34 | 5% |
Unknown | 601 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 177 | 26% |
Student > Master | 133 | 19% |
Researcher | 119 | 17% |
Student > Bachelor | 56 | 8% |
Unspecified | 43 | 6% |
Other | 156 | 23% |
Unknown | 1 | <1% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 197 | 29% |
Engineering | 118 | 17% |
Agricultural and Biological Sciences | 69 | 10% |
Unspecified | 66 | 10% |
Mathematics | 43 | 6% |
Other | 191 | 28% |
Unknown | 1 | <1% |