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Mendeley readers
| Chapter title |
Distribution-Based Anomaly Detection in Network Traffic
|
|---|---|
| Chapter number | 9 |
| Book title |
Data Traffic Monitoring and Analysis
|
| Published by |
Springer, Berlin, Heidelberg, January 2013
|
| DOI | 10.1007/978-3-642-36784-7_9 |
| Book ISBNs |
978-3-64-236783-0, 978-3-64-236784-7
|
| Authors |
Angelo Coluccia, Alessandro D’Alconzo, Fabio Ricciato |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 10% |
| Greece | 1 | 10% |
| Unknown | 8 | 80% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 30% |
| Researcher | 2 | 20% |
| Student > Bachelor | 1 | 10% |
| Other | 1 | 10% |
| Student > Master | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 80% |
| Business, Management and Accounting | 1 | 10% |
| Unknown | 1 | 10% |