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Mendeley readers
| Chapter title |
Outlier Analysis
|
|---|---|
| Chapter number | 8 |
| Book title |
Data Mining
|
| Published by |
Springer International Publishing, April 2015
|
| DOI | 10.1007/978-3-319-14142-8_8 |
| 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 119 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 119 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 25 | 21% |
| Student > Master | 21 | 18% |
| Researcher | 17 | 14% |
| Student > Bachelor | 8 | 7% |
| Professor | 5 | 4% |
| Other | 21 | 18% |
| Unknown | 22 | 18% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 41 | 34% |
| Engineering | 22 | 18% |
| Business, Management and Accounting | 6 | 5% |
| Social Sciences | 4 | 3% |
| Environmental Science | 3 | 3% |
| Other | 15 | 13% |
| Unknown | 28 | 24% |