A research on the comparison of classification algorithm in finance

Abstract

Nowadays, data is developing with technology. With developments in the Internet and technology, it makes a warehouse that changes the data more rapidly and in volume. This situation increases the importance of data mining every day. The aim of this study is to examine classification algorithms which are the sub-subject of data mining. In the analysis part of the study, it is aimed to compare the algorithms with the accuracy ratio by using the financial data. As a result of the study conducted on stock marketing, the classification of enterprises of decision tree models with artificial neural networks has also been found to be more successful than other methods.