You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
A Comparative Study of Unsupervised Machine Learning and Data Mining Techniques for Intrusion Detection
|
---|---|
Chapter number | 31 |
Book title |
Machine Learning and Data Mining in Pattern Recognition
|
Published by |
Springer, Berlin, Heidelberg, July 2007
|
DOI | 10.1007/978-3-540-73499-4_31 |
Book ISBNs |
978-3-54-073498-7, 978-3-54-073499-4
|
Authors |
Reza Sadoddin, Ali A. Ghorbani, Sadoddin, Reza, Ghorbani, Ali A. |
Mendeley readers
The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 1 | 3% |
Korea, Republic of | 1 | 3% |
Thailand | 1 | 3% |
Unknown | 30 | 91% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 9 | 27% |
Student > Ph. D. Student | 5 | 15% |
Student > Doctoral Student | 3 | 9% |
Professor | 3 | 9% |
Student > Master | 3 | 9% |
Other | 5 | 15% |
Unknown | 5 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 19 | 58% |
Engineering | 5 | 15% |
Biochemistry, Genetics and Molecular Biology | 1 | 3% |
Unknown | 8 | 24% |