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Mendeley readers
Chapter title |
DeepAD: A Generic Framework Based on Deep Learning for Time Series Anomaly Detection
|
---|---|
Chapter number | 46 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, June 2018
|
DOI | 10.1007/978-3-319-93034-3_46 |
Book ISBNs |
978-3-31-993033-6, 978-3-31-993034-3
|
Authors |
Teodora Sandra Buda, Bora Caglayan, Haytham Assem, Buda, Teodora Sandra, Caglayan, Bora, Assem, Haytham |
Mendeley readers
The data shown below were compiled from readership statistics for 74 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 74 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 18 | 24% |
Student > Ph. D. Student | 17 | 23% |
Researcher | 7 | 9% |
Student > Doctoral Student | 3 | 4% |
Student > Bachelor | 3 | 4% |
Other | 5 | 7% |
Unknown | 21 | 28% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 39 | 53% |
Engineering | 8 | 11% |
Social Sciences | 2 | 3% |
Decision Sciences | 1 | 1% |
Pharmacology, Toxicology and Pharmaceutical Science | 1 | 1% |
Other | 2 | 3% |
Unknown | 21 | 28% |