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Mendeley readers
| Chapter title |
Deep Factor Model
|
|---|---|
| Chapter number | 3 |
| Book title |
ECML PKDD 2018 Workshops
|
| Published by |
Springer, Cham, September 2018
|
| DOI | 10.1007/978-3-030-13463-1_3 |
| Book ISBNs |
978-3-03-013462-4, 978-3-03-013463-1
|
| Authors |
Kei Nakagawa, Takumi Uchida, Tomohisa Aoshima, Nakagawa, Kei, Uchida, Takumi, Aoshima, Tomohisa |
Mendeley readers
The data shown below were compiled from readership statistics for 46 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 46 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 4 | 9% |
| Lecturer | 2 | 4% |
| Student > Master | 2 | 4% |
| Professor | 1 | 2% |
| Researcher | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 36 | 78% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 9% |
| Economics, Econometrics and Finance | 3 | 7% |
| Business, Management and Accounting | 1 | 2% |
| Linguistics | 1 | 2% |
| Unknown | 37 | 80% |