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Mendeley readers
| Chapter title |
Towards a General Framework for Data Mining
|
|---|---|
| Chapter number | 16 |
| Book title |
Knowledge Discovery in Inductive Databases
|
| Published by |
Springer, Berlin, Heidelberg, September 2006
|
| DOI | 10.1007/978-3-540-75549-4_16 |
| Book ISBNs |
978-3-54-075548-7, 978-3-54-075549-4
|
| Authors |
Sašo Džeroski |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 3% |
| Austria | 1 | 3% |
| Czechia | 1 | 3% |
| Belgium | 1 | 3% |
| United States | 1 | 3% |
| Unknown | 35 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 16 | 40% |
| Researcher | 7 | 18% |
| Student > Master | 6 | 15% |
| Student > Doctoral Student | 2 | 5% |
| Lecturer | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 4 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 24 | 60% |
| Engineering | 4 | 10% |
| Business, Management and Accounting | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 3% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Other | 2 | 5% |
| Unknown | 6 | 15% |