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X Demographics
Mendeley readers
| Title |
Kernel Based Algorithms for Mining Huge Data Sets
|
|---|---|
| Published by |
Springer-Verlag Berlin Heidelberg, January 2006
|
| DOI | 10.1007/3-540-31689-2 |
| ISBNs |
978-3-54-031689-3, 978-3-54-031681-7, 978-3-64-206856-0
|
| Authors |
Te-Ming Huang, Vojislav Kecman, Ivica Kopriva, Huang, Te-Ming, Kecman, Vojislav, Kopriva, Ivica |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Spain | 2 | 2% |
| Brazil | 1 | <1% |
| United Kingdom | 1 | <1% |
| India | 1 | <1% |
| Canada | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 98 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 23 | 22% |
| Student > Master | 17 | 16% |
| Researcher | 8 | 8% |
| Student > Doctoral Student | 8 | 8% |
| Student > Bachelor | 5 | 5% |
| Other | 18 | 17% |
| Unknown | 26 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 33 | 31% |
| Engineering | 18 | 17% |
| Agricultural and Biological Sciences | 5 | 5% |
| Economics, Econometrics and Finance | 4 | 4% |
| Physics and Astronomy | 3 | 3% |
| Other | 13 | 12% |
| Unknown | 29 | 28% |