| Title |
Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models
|
|---|---|
| Published in |
Journal of Big Data, May 2022
|
| DOI | 10.1186/s40537-022-00623-1 |
| Authors |
Nasim Ahmed, Andre L. C. Barczak, Mohammad A. Rashid, Teo Susnjak |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 12% |
| Student > Master | 2 | 8% |
| Lecturer > Senior Lecturer | 1 | 4% |
| Student > Bachelor | 1 | 4% |
| Librarian | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 15 | 60% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 24% |
| Business, Management and Accounting | 2 | 8% |
| Arts and Humanities | 1 | 4% |
| Agricultural and Biological Sciences | 1 | 4% |
| Engineering | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 14 | 56% |