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Mendeley readers
Chapter title |
Online Anomaly Detection over Big Data Streams
|
---|---|
Chapter number | 16 |
Book title |
Applied Data Science
|
Published by |
Springer, Cham, June 2019
|
DOI | 10.1007/978-3-030-11821-1_16 |
Book ISBNs |
978-3-03-011820-4, 978-3-03-011821-1
|
Authors |
Laura Rettig, Mourad Khayati, Philippe Cudré-Mauroux, Michał Piorkówski, Rettig, Laura, Khayati, Mourad, Cudré-Mauroux, Philippe, Piorkówski, Michał |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 7 | 24% |
Researcher | 3 | 10% |
Lecturer | 2 | 7% |
Unspecified | 2 | 7% |
Student > Bachelor | 2 | 7% |
Other | 5 | 17% |
Unknown | 8 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 41% |
Unspecified | 2 | 7% |
Linguistics | 1 | 3% |
Social Sciences | 1 | 3% |
Engineering | 1 | 3% |
Other | 0 | 0% |
Unknown | 12 | 41% |