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Mendeley readers
| Chapter title |
Support Vector Machines in Classification and Regression — An Introduction
|
|---|---|
| Chapter number | 2 |
| Book title |
Kernel Based Algorithms for Mining Huge Data Sets
|
| Published by |
Springer, Berlin, Heidelberg, January 2006
|
| DOI | 10.1007/3-540-31689-2_2 |
| Book ISBNs |
978-3-54-031681-7, 978-3-54-031689-3
|
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 8% |
| United States | 1 | 8% |
| Unknown | 10 | 83% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 33% |
| Student > Doctoral Student | 2 | 17% |
| Lecturer | 1 | 8% |
| Student > Master | 1 | 8% |
| Professor > Associate Professor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 3 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 42% |
| Engineering | 2 | 17% |
| Physics and Astronomy | 1 | 8% |
| Unknown | 4 | 33% |