Main Article Content
Abstract
Data mining is the emerging field in computer science. Data mining includes the identification of hidden predictive patterns from large databases. Data mining parameters includes association, classification, clustering, forecasting. There are different classification algorithms. This is a review paper regarding various classification algorithms of data mining and enhancement of those algorithms which has been applied to different datasets. This paper will give insights about various classification algorithms and as well as their enhancements. Numerous researcher’s implemented different approaches to enhance the correctness and accuracy of the particular classification algorithm. They have different methods to implement a specific classification algorithm like to use a hybrid approach- combine two or more algorithms in a single one. To create a new algorithm by using the combination of clustering and classification in data mining or may be by adding a new formula construct a new algorithm for a given data set and produce another good solution for the previous available algorithm.