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X Demographics
Mendeley readers
| Title |
Predictive Data Mining Models
|
|---|---|
| Published by |
Springer Singapore, January 2017
|
| DOI | 10.1007/978-981-10-2543-3 |
| ISBNs |
978-9-81-102542-6, 978-9-81-102543-3
|
| Authors |
Olson, David L., Wu, Desheng, David L. Olson, Desheng Wu |
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 61 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 61 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 16 | 26% |
| Student > Bachelor | 11 | 18% |
| Researcher | 9 | 15% |
| Student > Ph. D. Student | 8 | 13% |
| Student > Doctoral Student | 4 | 7% |
| Other | 8 | 13% |
| Unknown | 5 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 23 | 38% |
| Engineering | 9 | 15% |
| Business, Management and Accounting | 7 | 11% |
| Agricultural and Biological Sciences | 5 | 8% |
| Economics, Econometrics and Finance | 5 | 8% |
| Other | 6 | 10% |
| Unknown | 6 | 10% |