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Mendeley readers
Chapter title |
Exploiting SNMP-MIB Data to Detect Network Anomalies Using Machine Learning Techniques
|
---|---|
Chapter number | 73 |
Book title |
Intelligent Systems and Applications
|
Published by |
Springer, Cham, September 2018
|
DOI | 10.1007/978-3-030-01057-7_73 |
Book ISBNs |
978-3-03-001056-0, 978-3-03-001057-7
|
Authors |
Ghazi Al-Naymat, Mouhammd Al-kasassbeh, Eshraq Al-Hawari, Al-Naymat, Ghazi, Al-kasassbeh, Mouhammd, Al-Hawari, Eshraq |
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 % |
---|---|---|
Unknown | 24 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 13% |
Professor | 2 | 8% |
Student > Ph. D. Student | 2 | 8% |
Lecturer | 1 | 4% |
Student > Bachelor | 1 | 4% |
Other | 2 | 8% |
Unknown | 13 | 54% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 29% |
Engineering | 4 | 17% |
Unknown | 13 | 54% |