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Mendeley readers
| Chapter title |
Artificial Intelligence for Islamic Sukuk Rating Predictions
|
|---|---|
| Chapter number | 8 |
| Book title |
Artificial Intelligence in Financial Markets
|
| Published by |
Palgrave Macmillan, London, January 2016
|
| DOI | 10.1057/978-1-137-48880-0_8 |
| Book ISBNs |
978-1-137-48879-4, 978-1-137-48880-0
|
| Authors |
Tika Arundina, Mira Kartiwi, Mohd. Azmi Omar |
Mendeley readers
The data shown below were compiled from readership statistics for 25 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 25 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 5 | 20% |
| Student > Bachelor | 2 | 8% |
| Lecturer | 2 | 8% |
| Student > Ph. D. Student | 2 | 8% |
| Researcher | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 13 | 52% |
| Readers by discipline | Count | As % |
|---|---|---|
| Economics, Econometrics and Finance | 6 | 24% |
| Business, Management and Accounting | 4 | 16% |
| Computer Science | 1 | 4% |
| Decision Sciences | 1 | 4% |
| Social Sciences | 1 | 4% |
| Other | 1 | 4% |
| Unknown | 11 | 44% |