Research on Data System Data Classification Methods Based on Convolutional Neural Networks

Abstract

A large amount of business data contains a huge value in the information system. Especially since the information system has entered various industries, the industry knowledge contained in it often helps promote the development of the industry. Therefore, data system data mining is very important. However, there are a large amount of non-balanced data inside the information system, which is difficult to apply for traditional classifiers. This article proposes to use integrated learning ideas to solve a small amount of data in the non-balanced data classification of non-balanced data classification through deep convolutional neural networks, which is easily ignored. It is expected that this article's research can help the information system data classification work.