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Mendeley readers
Chapter title |
Significant Feature Selection Using Computational Intelligent Techniques for Intrusion Detection
|
---|---|
Chapter number | 11 |
Book title |
Advanced Methods for Knowledge Discovery from Complex Data
|
Published by |
Springer, London, January 2005
|
DOI | 10.1007/1-84628-284-5_11 |
Book ISBNs |
978-1-85233-989-0, 978-1-84628-284-3
|
Authors |
Srinivas Mukkamala, Andrew H. Sung |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 4 | 33% |
Student > Ph. D. Student | 3 | 25% |
Student > Doctoral Student | 2 | 17% |
Unknown | 3 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 67% |
Engineering | 2 | 17% |
Unknown | 2 | 17% |