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Mendeley readers
Chapter title |
Evolving High-Speed, Easy-to-Understand Network Intrusion Detection Rules with Genetic Programming
|
---|---|
Chapter number | 11 |
Book title |
Applications of Evolutionary Computing
|
Published by |
Springer, Berlin, Heidelberg, April 2009
|
DOI | 10.1007/978-3-642-01129-0_11 |
Book ISBNs |
978-3-64-201128-3, 978-3-64-201129-0
|
Authors |
Agustin Orfila, Juan M. Estevez-Tapiador, Arturo Ribagorda |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Spain | 2 | 7% |
Italy | 1 | 3% |
Malaysia | 1 | 3% |
United Kingdom | 1 | 3% |
Brazil | 1 | 3% |
Unknown | 24 | 80% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 33% |
Student > Master | 5 | 17% |
Professor > Associate Professor | 4 | 13% |
Researcher | 3 | 10% |
Professor | 2 | 7% |
Other | 3 | 10% |
Unknown | 3 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 23 | 77% |
Engineering | 2 | 7% |
Economics, Econometrics and Finance | 1 | 3% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Unknown | 3 | 10% |