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Mendeley readers
Chapter title |
Anomaly Detection from Log Files Using Data Mining Techniques
|
---|---|
Chapter number | 53 |
Book title |
Information Science and Applications
|
Published by |
Springer, Berlin, Heidelberg, January 2015
|
DOI | 10.1007/978-3-662-46578-3_53 |
Book ISBNs |
978-3-66-246577-6, 978-3-66-246578-3
|
Authors |
Jakub Breier, Jana Branišová, Breier, Jakub, Branišová, Jana |
Mendeley readers
The data shown below were compiled from readership statistics for 35 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 35 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 29% |
Student > Ph. D. Student | 6 | 17% |
Professor > Associate Professor | 3 | 9% |
Lecturer | 3 | 9% |
Researcher | 2 | 6% |
Other | 6 | 17% |
Unknown | 5 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 25 | 71% |
Engineering | 4 | 11% |
Unknown | 6 | 17% |