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Study of cost-sensitive ant colony data mining algorithm

Recently, cost-sensitive data mining has been an area of extensive research interests. Intelligent ant colony classification algorithm is introduced in cost-sensitive data mining method in order to obtain satisfied classification results by interaction of ant individuals. The Convergence rate of classification is increased by using of MetaCost's Meta-learning theory. Moreover, Boosting theory is investigated to improve the classification results. As a result, some satisfied performances can be obtained by the combination of above three theories.