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Mendeley readers
Chapter title |
Detecting the Onset of Machine Failure Using Anomaly Detection Methods
|
---|---|
Chapter number | 1 |
Book title |
Big Data Analytics and Knowledge Discovery
|
Published by |
Springer, Cham, August 2019
|
DOI | 10.1007/978-3-030-27520-4_1 |
Book ISBNs |
978-3-03-027519-8, 978-3-03-027520-4
|
Authors |
Mohammad Riazi, Osmar Zaiane, Tomoharu Takeuchi, Anthony Maltais, Johannes Günther, Micheal Lipsett, Riazi, Mohammad, Zaiane, Osmar, Takeuchi, Tomoharu, Maltais, Anthony, Günther, Johannes, Lipsett, Micheal |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 39 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 10 | 26% |
Student > Ph. D. Student | 6 | 15% |
Student > Bachelor | 4 | 10% |
Researcher | 3 | 8% |
Other | 2 | 5% |
Other | 2 | 5% |
Unknown | 12 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 31% |
Engineering | 8 | 21% |
Chemical Engineering | 1 | 3% |
Psychology | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Other | 2 | 5% |
Unknown | 14 | 36% |