Modified Ant Colony Optimization Algorithm (MAnt-Miner) for Classification Rule Mining

Abstract

Classification rule mining is an important task of data mining. Ant colony optimization (ACO) algorithms are applied successfully to various optimization problems. Earlier Ant-Miner, an ACO algorithm was used to discover the classification rules and predictive accuracy was determined. In this paper, modified ant colony optimization (MAnt-Miner) is proposed to generate the classification rules and to enhance the predictive accuracy. This method is applied on breast cancer data set, and the experimental result showed that the predictive accuracy of MAnt-Miner is better than Ant-Miner. © Springer India 2015.