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 |
Feature Selection for Support Vector Machines in Financial Time Series Forecasting
|
---|---|
Chapter number | 38 |
Book title |
Intelligent Data Engineering and Automated Learning — IDEAL 2000. Data Mining, Financial Engineering, and Intelligent Agents
|
Published by |
Springer, Berlin, Heidelberg, December 2000
|
DOI | 10.1007/3-540-44491-2_38 |
Book ISBNs |
978-3-54-041450-6, 978-3-54-044491-6
|
Authors |
L. J. Cao, Francis E. H. Tay |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 112 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 21 | 19% |
Student > Ph. D. Student | 17 | 15% |
Student > Bachelor | 14 | 13% |
Researcher | 11 | 10% |
Student > Doctoral Student | 4 | 4% |
Other | 12 | 11% |
Unknown | 33 | 29% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 39 | 35% |
Engineering | 10 | 9% |
Economics, Econometrics and Finance | 8 | 7% |
Mathematics | 7 | 6% |
Business, Management and Accounting | 6 | 5% |
Other | 4 | 4% |
Unknown | 38 | 34% |