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| Chapter title |
Evolutionary Learning of Technical Trading Rules without Data-Mining Bias
|
|---|---|
| Chapter number | 30 |
| Book title |
Parallel Problem Solving from Nature, PPSN XI
|
| Published by |
Springer Berlin Heidelberg, January 2010
|
| DOI | 10.1007/978-3-642-15844-5_30 |
| Book ISBNs |
978-3-64-215843-8, 978-3-64-215844-5
|
| Authors |
Alexandros Agapitos, Michael O’Neill, Anthony Brabazon, Agapitos, Alexandros, O’Neill, Michael, Brabazon, Anthony |
| Editors |
Robert Schaefer, Carlos Cotta, Joanna Kołodziej, Günter Rudolph |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 3 | 8% |
| Greece | 1 | 3% |
| Italy | 1 | 3% |
| Unknown | 32 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 9 | 24% |
| Student > Master | 8 | 22% |
| Student > Ph. D. Student | 7 | 19% |
| Professor > Associate Professor | 5 | 14% |
| Student > Doctoral Student | 3 | 8% |
| Other | 3 | 8% |
| Unknown | 2 | 5% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 20 | 54% |
| Economics, Econometrics and Finance | 5 | 14% |
| Engineering | 3 | 8% |
| Business, Management and Accounting | 1 | 3% |
| Energy | 1 | 3% |
| Other | 1 | 3% |
| Unknown | 6 | 16% |