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X Demographics
Mendeley readers
| Title |
Discovering anomalies in big data: a review focused on the application of metaheuristics and machine learning techniques
|
|---|---|
| Published in |
Frontiers in Big Data, August 2023
|
| DOI | 10.3389/fdata.2023.1179625 |
| Pubmed ID | |
| Authors |
Claudia Cavallaro, Vincenzo Cutello, Mario Pavone, Francesco Zito |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 9 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 9 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 1 | 11% |
| Professor > Associate Professor | 1 | 11% |
| Lecturer | 1 | 11% |
| Lecturer > Senior Lecturer | 1 | 11% |
| Unknown | 5 | 56% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 3 | 33% |
| Psychology | 1 | 11% |
| Unknown | 5 | 56% |