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Mendeley readers
Chapter title |
Sales Demand Forecast in E-commerce Using a Long Short-Term Memory Neural Network Methodology
|
---|---|
Chapter number | 39 |
Book title |
Neural Information Processing
|
Published by |
Springer, Cham, December 2019
|
DOI | 10.1007/978-3-030-36718-3_39 |
Book ISBNs |
978-3-03-036717-6, 978-3-03-036718-3
|
Authors |
Kasun Bandara, Peibei Shi, Christoph Bergmeir, Hansika Hewamalage, Quoc Tran, Brian Seaman, Bandara, Kasun, Shi, Peibei, Bergmeir, Christoph, Hewamalage, Hansika, Tran, Quoc, Seaman, Brian |
Mendeley readers
The data shown below were compiled from readership statistics for 221 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 221 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 42 | 19% |
Student > Bachelor | 30 | 14% |
Student > Ph. D. Student | 13 | 6% |
Lecturer | 10 | 5% |
Researcher | 8 | 4% |
Other | 18 | 8% |
Unknown | 100 | 45% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 62 | 28% |
Business, Management and Accounting | 16 | 7% |
Engineering | 11 | 5% |
Economics, Econometrics and Finance | 9 | 4% |
Decision Sciences | 3 | 1% |
Other | 13 | 6% |
Unknown | 107 | 48% |