You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Improving the Performance of Neural Networks with Random Forest in Detecting Network Intrusions
|
---|---|
Chapter number | 74 |
Book title |
Advances in Neural Networks – ISNN 2013
|
Published by |
Springer Berlin Heidelberg, July 2013
|
DOI | 10.1007/978-3-642-39068-5_74 |
Book ISBNs |
978-3-64-239067-8, 978-3-64-239068-5
|
Authors |
Wenjuan Li, Yuxin Meng, Li, Wenjuan, Meng, Yuxin |
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 % |
---|---|---|
Greece | 1 | 10% |
Italy | 1 | 10% |
Unknown | 8 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 3 | 30% |
Student > Master | 2 | 20% |
Researcher | 2 | 20% |
Student > Doctoral Student | 1 | 10% |
Lecturer | 1 | 10% |
Other | 1 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 50% |
Agricultural and Biological Sciences | 1 | 10% |
Economics, Econometrics and Finance | 1 | 10% |
Engineering | 1 | 10% |
Unknown | 2 | 20% |