| Title |
SEWEBAR-CMS: semantic analytical report authoring for data mining results
|
|---|---|
| Published in |
Journal of Intelligent Information Systems, November 2010
|
| DOI | 10.1007/s10844-010-0137-0 |
| Authors |
Tomáš Kliegr, Vojtěch Svátek, Martin Ralbovský, Milan Šimůnek |
Mendeley readers
The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 1 | 4% |
| Brazil | 1 | 4% |
| Unknown | 21 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 6 | 26% |
| Student > Ph. D. Student | 6 | 26% |
| Student > Postgraduate | 3 | 13% |
| Lecturer | 2 | 9% |
| Researcher | 2 | 9% |
| Other | 2 | 9% |
| Unknown | 2 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 70% |
| Engineering | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 4% |
| Social Sciences | 1 | 4% |
| Business, Management and Accounting | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 2 | 9% |