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Mendeley readers
Chapter title |
A Relevance Weighted Ensemble Model for Anomaly Detection in Switching Data Streams
|
---|---|
Chapter number | 38 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published in |
Lecture notes in computer science, January 2014
|
DOI | 10.1007/978-3-319-06605-9_38 |
Book ISBNs |
978-3-31-906604-2, 978-3-31-906605-9
|
Authors |
Salehi, Mahsa, Leckie, Christopher A., Moshtaghi, Masud, Vaithianathan, Tharshan, Mahsa Salehi, Christopher A. Leckie, Masud Moshtaghi, Tharshan Vaithianathan |
Mendeley readers
The data shown below were compiled from readership statistics for 17 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 6% |
Unknown | 16 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 5 | 29% |
Student > Master | 3 | 18% |
Lecturer | 1 | 6% |
Student > Doctoral Student | 1 | 6% |
Student > Bachelor | 1 | 6% |
Other | 3 | 18% |
Unknown | 3 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 65% |
Unspecified | 1 | 6% |
Engineering | 1 | 6% |
Unknown | 4 | 24% |