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Mendeley readers
| Chapter title |
Using Decision Trees to Improve Signature-Based Intrusion Detection
|
|---|---|
| Chapter number | 10 |
| Book title |
Recent Advances in Intrusion Detection
|
| Published by |
Springer, Berlin, Heidelberg, September 2003
|
| DOI | 10.1007/978-3-540-45248-5_10 |
| Book ISBNs |
978-3-54-040878-9, 978-3-54-045248-5
|
| Authors |
Christopher Kruegel, Thomas Toth, Kruegel, Christopher, Toth, Thomas |
Mendeley readers
The data shown below were compiled from readership statistics for 105 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% |
| Korea, Republic of | 1 | <1% |
| Sweden | 1 | <1% |
| India | 1 | <1% |
| Spain | 1 | <1% |
| United States | 1 | <1% |
| Iraq | 1 | <1% |
| Unknown | 97 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 29 | 28% |
| Student > Master | 20 | 19% |
| Researcher | 8 | 8% |
| Student > Bachelor | 7 | 7% |
| Student > Doctoral Student | 4 | 4% |
| Other | 16 | 15% |
| Unknown | 21 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 58 | 55% |
| Engineering | 14 | 13% |
| Mathematics | 1 | <1% |
| Business, Management and Accounting | 1 | <1% |
| Economics, Econometrics and Finance | 1 | <1% |
| Other | 5 | 5% |
| Unknown | 25 | 24% |