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Mendeley readers
| Chapter title |
Outlier Analysis: Advanced Concepts
|
|---|---|
| Chapter number | 9 |
| Book title |
Data Mining
|
| Published by |
Springer International Publishing, April 2015
|
| DOI | 10.1007/978-3-319-14142-8_9 |
| Book ISBNs |
978-3-31-914141-1, 978-3-31-914142-8
|
| Authors |
Charu C. Aggarwal |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 17 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 18% |
| Student > Doctoral Student | 2 | 12% |
| Researcher | 2 | 12% |
| Student > Ph. D. Student | 2 | 12% |
| Professor | 1 | 6% |
| Other | 3 | 18% |
| Unknown | 4 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 35% |
| Engineering | 3 | 18% |
| Agricultural and Biological Sciences | 1 | 6% |
| Environmental Science | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 4 | 24% |