Advances in Smart Systems Research |
Publisher |
Future Technology Publications |
Vol. 2 No. 1 |
Workshop Papers from KES Conferences 2012 |
Journal ISSN |
2050-8662 |
|
Article Title | Scalability analysis of lter-based methods for feature selection |
Primary Author | Diego Peteiro-Barral, Faculty of Informatics, University of A Coruna, A Coruna (Spain) |
Other Author(s) |
Veronica Bolon-Canedo; Amparo Alonso-Betanzos; Bertha Guijarro-Berdinas; Noelia Sanchez-Maroono
|
Pages |
21 - 26
|
Article ID |
kes12w-002 |
Publication Date |
12-Sep-12 |
Abstract | Researchers in machine learning are now interested not only in accuracy but also in scalability of methods. Although scalability of learning algorithms is a trending issue, scalability of feature selection methods has not received the same amount of attention. In this research, a preliminary attempt to study the scalability of three well-known filter-based feature selection methods will be done. For this sake, several new measures are introduced, based not only in accuracy but also in execution time and stability and the results will be presented according to them. |
| View Paper |
Remarks |
Presented at the 'Groundbreaking Intelligent Systems Research' workshop at the KES2012 conference, San Sebastian, Spain, 10-12 September 2012 |