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Mendeley readers
| Chapter title |
High-Dimensional Outlier Detection: The Subspace Method
|
|---|---|
| Chapter number | 5 |
| Book title |
Outlier Analysis
|
| Published by |
Springer, Cham, January 2017
|
| DOI | 10.1007/978-3-319-47578-3_5 |
| Book ISBNs |
978-3-31-947577-6, 978-3-31-947578-3
|
| Authors |
Charu C. Aggarwal, Aggarwal, Charu C. |
Mendeley readers
The data shown below were compiled from readership statistics for 42 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 42 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 8 | 19% |
| Student > Ph. D. Student | 8 | 19% |
| Student > Master | 7 | 17% |
| Student > Bachelor | 3 | 7% |
| Lecturer | 2 | 5% |
| Other | 4 | 10% |
| Unknown | 10 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 19 | 45% |
| Engineering | 3 | 7% |
| Mathematics | 2 | 5% |
| Physics and Astronomy | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 12 | 29% |