| Title |
VADA: an architecture for end user informed data preparation
|
|---|---|
| Published in |
Journal of Big Data, August 2019
|
| DOI | 10.1186/s40537-019-0237-9 |
| Authors |
Nikolaos Konstantinou, Edward Abel, Luigi Bellomarini, Alex Bogatu, Cristina Civili, Endri Irfanie, Martin Koehler, Lacramioara Mazilu, Emanuel Sallinger, Alvaro A. A. Fernandes, Georg Gottlob, John A. Keane, Norman W. Paton |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 12 | 29% |
| Lecturer | 5 | 12% |
| Student > Master | 5 | 12% |
| Student > Doctoral Student | 3 | 7% |
| Researcher | 3 | 7% |
| Other | 4 | 10% |
| Unknown | 9 | 22% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 16 | 39% |
| Social Sciences | 4 | 10% |
| Business, Management and Accounting | 2 | 5% |
| Decision Sciences | 2 | 5% |
| Agricultural and Biological Sciences | 1 | 2% |
| Other | 3 | 7% |
| Unknown | 13 | 32% |