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Mendeley readers
Chapter title |
An Enhanced Support Vector Machine Model for Intrusion Detection
|
---|---|
Chapter number | 78 |
Book title |
Rough Sets and Knowledge Technology
|
Published by |
Springer, Berlin, Heidelberg, July 2006
|
DOI | 10.1007/11795131_78 |
Book ISBNs |
978-3-54-036297-5, 978-3-54-036299-9
|
Authors |
JingTao Yao, Songlun Zhao, Lisa Fan |
Mendeley readers
The data shown below were compiled from readership statistics for 50 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Indonesia | 1 | 2% |
Spain | 1 | 2% |
India | 1 | 2% |
Portugal | 1 | 2% |
Unknown | 46 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 16 | 32% |
Student > Ph. D. Student | 6 | 12% |
Student > Bachelor | 4 | 8% |
Researcher | 4 | 8% |
Lecturer | 3 | 6% |
Other | 8 | 16% |
Unknown | 9 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 26 | 52% |
Engineering | 8 | 16% |
Agricultural and Biological Sciences | 2 | 4% |
Arts and Humanities | 1 | 2% |
Economics, Econometrics and Finance | 1 | 2% |
Other | 1 | 2% |
Unknown | 11 | 22% |