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Mendeley readers
Chapter title |
Applying Machine Learning Techniques for Detection of Malicious Code in Network Traffic
|
---|---|
Chapter number | 5 |
Book title |
KI 2007: Advances in Artificial Intelligence
|
Published by |
Springer, Berlin, Heidelberg, September 2007
|
DOI | 10.1007/978-3-540-74565-5_5 |
Book ISBNs |
978-3-54-074564-8, 978-3-54-074565-5
|
Authors |
Yuval Elovici, Asaf Shabtai, Robert Moskovitch, Gil Tahan, Chanan Glezer, Elovici, Yuval, Shabtai, Asaf, Moskovitch, Robert, Tahan, Gil, Glezer, Chanan |
Mendeley readers
The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
India | 2 | 3% |
Malaysia | 1 | 1% |
Iraq | 1 | 1% |
Czechia | 1 | 1% |
Unknown | 72 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 20 | 26% |
Student > Master | 18 | 23% |
Student > Bachelor | 10 | 13% |
Researcher | 6 | 8% |
Lecturer | 3 | 4% |
Other | 7 | 9% |
Unknown | 13 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 47 | 61% |
Engineering | 9 | 12% |
Arts and Humanities | 2 | 3% |
Business, Management and Accounting | 2 | 3% |
Mathematics | 1 | 1% |
Other | 2 | 3% |
Unknown | 14 | 18% |