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Mendeley readers
Chapter title |
Machine Learning Approach for IP-Flow Record Anomaly Detection
|
---|---|
Chapter number | 3 |
Book title |
NETWORKING 2011
|
Published by |
Springer, Berlin, Heidelberg, May 2011
|
DOI | 10.1007/978-3-642-20757-0_3 |
Book ISBNs |
978-3-64-220756-3, 978-3-64-220757-0
|
Authors |
Cynthia Wagner, Jérôme François, Radu State, Thomas Engel |
Mendeley readers
The data shown below were compiled from readership statistics for 90 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Portugal | 1 | 1% |
Germany | 1 | 1% |
Sweden | 1 | 1% |
India | 1 | 1% |
Thailand | 1 | 1% |
United States | 1 | 1% |
Unknown | 84 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 20% |
Student > Ph. D. Student | 17 | 19% |
Researcher | 10 | 11% |
Student > Doctoral Student | 5 | 6% |
Student > Bachelor | 5 | 6% |
Other | 13 | 14% |
Unknown | 22 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 52 | 58% |
Engineering | 11 | 12% |
Mathematics | 1 | 1% |
Agricultural and Biological Sciences | 1 | 1% |
Unspecified | 1 | 1% |
Other | 0 | 0% |
Unknown | 24 | 27% |