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.
X Demographics
Mendeley readers
Chapter title |
Continuous Features Discretization for Anomaly Intrusion Detectors Generation
|
---|---|
Chapter number | 19 |
Book title |
Soft Computing in Industrial Applications
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-00930-8_19 |
Book ISBNs |
978-3-31-900929-2, 978-3-31-900930-8
|
Authors |
Amira Sayed A. Aziz, Ahmad Taher Azar, Aboul Ella Hassanien, Sanaa El-Ola Hanafy |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Saudi Arabia | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 24 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Egypt | 1 | 4% |
Saudi Arabia | 1 | 4% |
Unknown | 22 | 92% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 9 | 38% |
Student > Ph. D. Student | 4 | 17% |
Lecturer | 3 | 13% |
Lecturer > Senior Lecturer | 2 | 8% |
Researcher | 1 | 4% |
Other | 2 | 8% |
Unknown | 3 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 54% |
Engineering | 2 | 8% |
Social Sciences | 1 | 4% |
Unknown | 8 | 33% |