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Mendeley readers
| Chapter title |
Descriptive Data Mining
|
|---|---|
| Chapter number | 8 |
| Book title |
Descriptive Data Mining
|
| Published by |
Springer, Singapore, January 2017
|
| DOI | 10.1007/978-981-10-3340-7_8 |
| Book ISBNs |
978-9-81-103339-1, 978-9-81-103340-7
|
| Authors |
David L. Olson |
Mendeley readers
The data shown below were compiled from readership statistics for 63 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 63 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 38% |
| Student > Bachelor | 10 | 16% |
| Student > Ph. D. Student | 6 | 10% |
| Lecturer | 4 | 6% |
| Researcher | 3 | 5% |
| Other | 9 | 14% |
| Unknown | 7 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 21 | 33% |
| Engineering | 13 | 21% |
| Economics, Econometrics and Finance | 5 | 8% |
| Social Sciences | 4 | 6% |
| Business, Management and Accounting | 3 | 5% |
| Other | 8 | 13% |
| Unknown | 9 | 14% |