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Mendeley readers
Chapter title |
Correlation-Aware Deep Generative Model for Unsupervised Anomaly Detection
|
---|---|
Chapter number | 52 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2020
|
DOI | 10.1007/978-3-030-47436-2_52 |
Book ISBNs |
978-3-03-047435-5, 978-3-03-047436-2
|
Authors |
Haoyi Fan, Fengbin Zhang, Ruidong Wang, Liang Xi, Zuoyong Li, Fan, Haoyi, Zhang, Fengbin, Wang, Ruidong, Xi, Liang, Li, Zuoyong |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 3 | 25% |
Researcher | 2 | 17% |
Student > Ph. D. Student | 2 | 17% |
Other | 1 | 8% |
Lecturer | 1 | 8% |
Other | 1 | 8% |
Unknown | 2 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 58% |
Physics and Astronomy | 1 | 8% |
Unknown | 4 | 33% |