You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Chapter title |
A Comparison between Nature-Inspired and Machine Learning Approaches to Detecting Trend Reversals in Financial Time Series
|
|---|---|
| Chapter number | 3 |
| Book title |
Natural Computing in Computational Finance
|
| Published by |
Springer Berlin Heidelberg, January 2012
|
| DOI | 10.1007/978-3-642-23336-4_3 |
| Book ISBNs |
978-3-64-223335-7, 978-3-64-223336-4
|
| Authors |
Antonia Azzini, Matteo De Felice, Andrea G. B. Tettamanzi |
| Editors |
Anthony Brabazon, Michael O’Neill, Dietmar Maringer |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Italy | 1 | 8% |
| Unknown | 11 | 92% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 33% |
| Student > Ph. D. Student | 3 | 25% |
| Student > Doctoral Student | 2 | 17% |
| Other | 1 | 8% |
| Student > Bachelor | 1 | 8% |
| Other | 0 | 0% |
| Unknown | 1 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 8 | 67% |
| Environmental Science | 1 | 8% |
| Unknown | 3 | 25% |