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Mendeley readers
Chapter title |
Unsupervised Anomaly Detection in Noisy Business Process Event Logs Using Denoising Autoencoders
|
---|---|
Chapter number | 28 |
Book title |
Discovery Science
|
Published by |
Springer International Publishing, January 2016
|
DOI | 10.1007/978-3-319-46307-0_28 |
Book ISBNs |
978-3-31-946306-3, 978-3-31-946307-0
|
Authors |
Timo Nolle, Alexander Seeliger, Max Mühlhäuser, Nolle, Timo, Seeliger, Alexander, Mühlhäuser, Max |
Editors |
Toon Calders, Michelangelo Ceci, Donato Malerba |
Mendeley readers
The data shown below were compiled from readership statistics for 45 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 45 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 11 | 24% |
Student > Ph. D. Student | 7 | 16% |
Student > Bachelor | 6 | 13% |
Researcher | 5 | 11% |
Student > Postgraduate | 2 | 4% |
Other | 3 | 7% |
Unknown | 11 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 26 | 58% |
Business, Management and Accounting | 4 | 9% |
Economics, Econometrics and Finance | 2 | 4% |
Engineering | 2 | 4% |
Unknown | 11 | 24% |