2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03)
Classification Rule Discovery with Ant Colony Optimization
Halifax, Canada
October 13-October 17
ISBN: 0-7695-1931-8
Ant-based algorithms or ant colony optimization (ACO) algorithms have been applied successfully to combinatorial optimization problems. More recently, Parpinelli and colleagues applied ACO to data mining classification problems, where they introduced a classification algorithm called Ant_Miner. In this paper, we present an improvement to Ant_Miner (we call it Ant_Miner3). The proposed version was tested on two standard problems and performed better than the original Ant_Miner algorithm.
Citation:
Bo Liu, Hussein A. Abbass, Bob McKay, "Classification Rule Discovery with Ant Colony Optimization," iat, pp.83, 2003 IEEE/WIC International Conference on Intelligent Agent Technology (IAT'03), 2003