A Comparative Study of Classification Rule Discovery with Ant Colony Optimization: AntMiner

Rule based classification is the fundamental and important task of data classification. To discover classification rules, ant colony optimization algorithms are successfully applied that follow a sequential covering approach to build a list of rules. AntMiner Rule Based Classification algorithms are inspired from self- organizing behaviour of ant colonies. In this paper, we presented a study on Ant Colony Optimization Algorithm, AntMiner, c_AntMiner, c_AntMiner2, c_AntMiner PB and  conducted experiments to find predictive accuracy against well-known rule induction algorithms JRIP and PART and results shows that AntMiner and its variants shows comparable as well as better performance in some datasets taken in the experimental study