International Journal of Computer Applications |
Foundation of Computer Science (FCS), NY, USA |
Volume 95 - Number 14 |
Year of Publication: 2014 |
Authors: Saurabh Soni, Pratik Patel |
10.5120/16665-6656 |
Saurabh Soni, Pratik Patel . IFSS – An Improved Filter-Wrapper Algorithm for Feature Subset Selection. International Journal of Computer Applications. 95, 14 ( June 2014), 33-35. DOI=10.5120/16665-6656
The ever increasing growth of databases in the real time application is a major issue for the handling of large data. The data mining of the same is also a tedious task. The feature subset selection is a process for finding the irrelevant and redundant data and handling them. The proposed algorithm IFSS- Improved Feature Subset Selection works in 2 major steps: 1. Find the irrelevant features and 2. Evaluate its fitness with Ant Colony Optimization (ACO). The Computation time taken to derive the results is taken to compare with different FSS algorithms.