International Journal of Engineering Innovations and Research (IJEIR)
Classification is one of the matters discussed in the field of data mining, being of high importance in knowledge discovery. Many data mining techniques have been applied to deal with classification problems. Decision trees are one of the oldest and most well-known methods to construct classification models, in a way that the model implements itself. In this paper, a method which is the combination of the powerful and evolutionary algorithm of GP and the Instance-based learning algorithm of KNN is presented, acting efficiently in separating classes and data.