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Mendeley readers
| Title |
Fast implementation of pattern mining algorithms with time stamp uncertainties and temporal constraints
|
|---|---|
| Published in |
Journal of Big Data, May 2019
|
| DOI | 10.1186/s40537-019-0200-9 |
| Authors |
Sofya S. Titarenko, Valeriy N. Titarenko, Georgios Aivaliotis, Jan Palczewski |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 31 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 16% |
| Researcher | 5 | 16% |
| Student > Doctoral Student | 3 | 10% |
| Student > Ph. D. Student | 3 | 10% |
| Librarian | 2 | 6% |
| Other | 4 | 13% |
| Unknown | 9 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 12 | 39% |
| Biochemistry, Genetics and Molecular Biology | 1 | 3% |
| Business, Management and Accounting | 1 | 3% |
| Mathematics | 1 | 3% |
| Agricultural and Biological Sciences | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 14 | 45% |