Comparing the computational complexity and accuracy of classification algorithms

Abstract

Decision trees have been widely used for classification in Data mining. Number of decision tree algorithms has been developed in the past. In order to reduce the computational time the On Improving the efficiency of SLIQ (OIESLIQ) algorithm has been developed with an aim to reduce diversity of the decision tree at each split. In order to improve the accuracy, the paper proposes a novel approach (Pioneer classifier algorithm) to embark upon the other two algorithms.