IFSS An Improved Filter-Wrapper Algorithm for Feature Subset Selection
Saurabh Soni, Pratik Patel · International Journal of Computer Applications · 2014
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.