| Title |
Anomaly behaviour detection based on the meta-Morisita index for large scale spatio-temporal data set
|
|---|---|
| Published in |
Journal of Big Data, July 2018
|
| DOI | 10.1186/s40537-018-0133-8 |
| Authors |
Zhao Yang, Nathalie Japkowicz |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 24 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 13% |
| Student > Ph. D. Student | 3 | 13% |
| Lecturer | 2 | 8% |
| Professor | 2 | 8% |
| Student > Doctoral Student | 1 | 4% |
| Other | 5 | 21% |
| Unknown | 8 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 29% |
| Engineering | 3 | 13% |
| Business, Management and Accounting | 2 | 8% |
| Agricultural and Biological Sciences | 2 | 8% |
| Decision Sciences | 1 | 4% |
| Other | 2 | 8% |
| Unknown | 7 | 29% |