Effective Classification with Hybrid Evolutionary Techniques

Abstract

Ant colony optimization (ACO) algorithms have been applied successfully to combinatorial optimization problems. More recently, Parpinelli et al have applied ACO to data mining classification problems, where they introduced a classification algorithm called Ant Miner. In this paper, we present a hybrid system that combines both the proposed Enhanced Quickreduct algorithm for data preprocessing and ant miner. The system was tested on standard data set and its performance is better than the original Ant Miner algorithm.