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Mendeley readers
Chapter title |
Cyber Intrusion Detection Using Machine Learning Classification Techniques
|
---|---|
Chapter number | 10 |
Book title |
Computing Science, Communication and Security
|
Published by |
Springer, Singapore, March 2020
|
DOI | 10.1007/978-981-15-6648-6_10 |
Book ISBNs |
978-9-81-156647-9, 978-9-81-156648-6
|
Authors |
Hamed Alqahtani, Iqbal H. Sarker, Asra Kalim, Syed Md. Minhaz Hossain, Sheikh Ikhlaq, Sohrab Hossain, Alqahtani, Hamed, Sarker, Iqbal H., Kalim, Asra, Minhaz Hossain, Syed Md., Ikhlaq, Sheikh, Hossain, Sohrab |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 121 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 16 | 13% |
Student > Ph. D. Student | 11 | 9% |
Researcher | 7 | 6% |
Student > Bachelor | 5 | 4% |
Lecturer | 4 | 3% |
Other | 11 | 9% |
Unknown | 67 | 55% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 35 | 29% |
Engineering | 12 | 10% |
Mathematics | 2 | 2% |
Business, Management and Accounting | 2 | 2% |
Agricultural and Biological Sciences | 1 | <1% |
Other | 3 | 2% |
Unknown | 66 | 55% |