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Mendeley readers
Chapter title |
Review on Feature Selection Algorithms for Anomaly-Based Intrusion Detection System
|
---|---|
Chapter number | 57 |
Book title |
Recent Trends in Data Science and Soft Computing
|
Published by |
Springer, Cham, June 2018
|
DOI | 10.1007/978-3-319-99007-1_57 |
Book ISBNs |
978-3-31-999006-4, 978-3-31-999007-1
|
Authors |
Taief Alaa Alamiedy, Mohammed Anbar, Ahmed K. Al-Ani, Bassam Naji Al-Tamimi, Nameer Faleh, Alamiedy, Taief Alaa, Anbar, Mohammed, Al-Ani, Ahmed K., Al-Tamimi, Bassam Naji, Faleh, Nameer |
Mendeley readers
The data shown below were compiled from readership statistics for 47 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 47 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 8 | 17% |
Student > Ph. D. Student | 7 | 15% |
Lecturer | 4 | 9% |
Student > Bachelor | 3 | 6% |
Lecturer > Senior Lecturer | 3 | 6% |
Other | 3 | 6% |
Unknown | 19 | 40% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 21 | 45% |
Unspecified | 2 | 4% |
Engineering | 2 | 4% |
Materials Science | 1 | 2% |
Immunology and Microbiology | 1 | 2% |
Other | 0 | 0% |
Unknown | 20 | 43% |