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Mendeley readers
Chapter title |
Illegal Activity Categorisation in DarkNet Based on Image Classification Using CREIC Method
|
---|---|
Chapter number | 58 |
Book title |
International Joint Conference SOCO’17-CISIS’17-ICEUTE’17 León, Spain, September 6–8, 2017, Proceeding
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-67180-2_58 |
Book ISBNs |
978-3-31-967179-6, 978-3-31-967180-2
|
Authors |
Eduardo Fidalgo, Enrique Alegre, Victor González-Castro, Laura Fernández-Robles, Fidalgo, Eduardo, Alegre, Enrique, González-Castro, Victor, Fernández-Robles, Laura |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 18 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 2 | 11% |
Lecturer | 2 | 11% |
Student > Bachelor | 2 | 11% |
Lecturer > Senior Lecturer | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Other | 6 | 33% |
Unknown | 4 | 22% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 44% |
Business, Management and Accounting | 1 | 6% |
Chemistry | 1 | 6% |
Engineering | 1 | 6% |
Unknown | 7 | 39% |