Research Communication | Open Access
Volume 2021 | Communication ID 239
Volume 2021 | Communication ID 239
| Big Data: Improved feature selection method |
Mustapha Kabil, Abdessamad Kamouss
Received |
Accepted |
Published |
January 31, 2021 |
February 15, 2021 |
March 15, 2021 |
Abstract: Text classification is one of the challenging computational tasks in machine learning community in the context of Big Data. In this process feature selection has a key role to play in helping reduce high-dimensionality in machine learning problems because thousands of possible feature sets may be considered in text classification. In this work, we propose a new feature selection method based on a heuristic algorithm called ICFS-BA allowing dimensionality reduction by selecting the optimal subset based on the correlation between features.