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Mendeley readers
| Chapter title |
A Multivariate and Multi-step Ahead Machine Learning Approach to Traditional and Cryptocurrencies Volatility Forecasting
|
|---|---|
| Chapter number | 1 |
| Book title |
ECML PKDD 2018 Workshops
|
| Published by |
Springer, Cham, September 2018
|
| DOI | 10.1007/978-3-030-13463-1_1 |
| Book ISBNs |
978-3-03-013462-4, 978-3-03-013463-1
|
| Authors |
Jacopo De Stefani, Olivier Caelen, Dalila Hattab, Yann-Aël Le Borgne, Gianluca Bontempi, De Stefani, Jacopo, Caelen, Olivier, Hattab, Dalila, Le Borgne, Yann-Aël, Bontempi, Gianluca |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 3 | 17% |
| Student > Master | 3 | 17% |
| Professor | 2 | 11% |
| Unspecified | 1 | 6% |
| Student > Doctoral Student | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 6 | 33% |
| Arts and Humanities | 1 | 6% |
| Unspecified | 1 | 6% |
| Business, Management and Accounting | 1 | 6% |
| Mathematics | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 6 | 33% |