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Mendeley readers
| Chapter title |
A Framework for the Application of Association Rule Mining in Large Intrusion Detection Infrastructures
|
|---|---|
| Chapter number | 1 |
| Book title |
Recent Advances in Intrusion Detection
|
| Published by |
Springer-Verlag, September 2006
|
| DOI | 10.1007/11856214_1 |
| Book ISBNs |
978-3-54-039723-6, 978-3-54-039725-0
|
| Authors |
Treinen, James J., Thurimella, Ramakrishna, James J. Treinen, Ramakrishna Thurimella |
Mendeley readers
The data shown below were compiled from readership statistics for 67 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Portugal | 1 | 1% |
| Malaysia | 1 | 1% |
| France | 1 | 1% |
| Korea, Republic of | 1 | 1% |
| Brazil | 1 | 1% |
| India | 1 | 1% |
| Japan | 1 | 1% |
| United States | 1 | 1% |
| Unknown | 59 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 19 | 28% |
| Student > Master | 14 | 21% |
| Researcher | 8 | 12% |
| Other | 4 | 6% |
| Lecturer | 3 | 4% |
| Other | 8 | 12% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 49 | 73% |
| Engineering | 5 | 7% |
| Mathematics | 1 | 1% |
| Materials Science | 1 | 1% |
| Decision Sciences | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 10 | 15% |