Data Warehousing and Data Mining Techniques for Cyber Security
Springer US
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Timeline
Mendeley readers
| Chapter title |
Network and System Security
|
|---|---|
| Chapter number | 2 |
| Book title |
Data Warehousing and Data Mining Techniques for Cyber Security
|
| Published by |
Springer, Boston, MA, January 2007
|
| DOI | 10.1007/978-0-387-47653-7_2 |
| Book ISBNs |
978-0-387-26409-7, 978-0-387-47653-7
|
| Authors |
Anoop Singhal |
Mendeley readers
The data shown below were compiled from readership statistics for 460 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Malaysia | 2 | <1% |
| Germany | 2 | <1% |
| India | 2 | <1% |
| United States | 2 | <1% |
| Brazil | 2 | <1% |
| United Kingdom | 2 | <1% |
| Italy | 1 | <1% |
| Ireland | 1 | <1% |
| Portugal | 1 | <1% |
| Other | 3 | <1% |
| Unknown | 442 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 106 | 23% |
| Student > Bachelor | 71 | 15% |
| Student > Ph. D. Student | 68 | 15% |
| Researcher | 28 | 6% |
| Student > Postgraduate | 24 | 5% |
| Other | 67 | 15% |
| Unknown | 96 | 21% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 232 | 50% |
| Engineering | 45 | 10% |
| Business, Management and Accounting | 18 | 4% |
| Social Sciences | 16 | 3% |
| Arts and Humanities | 9 | 2% |
| Other | 34 | 7% |
| Unknown | 106 | 23% |