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A Comprehensive Integration Method Based on Unbalanced Data Classification Problems
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Journal Article
A Comprehensive Integration Method Based on Unbalanced Data Classification Problems
2018
Overview
This paper first introduces the characteristics of non-equilibrium data and the main problems brought by its classification. Based on this, it proposes a comprehensive integration method based on non-equilibrium data classification problems, and the method improvement background and strategy. The construction of base classifiers, and the selective integration methods of base classifiers are described in detail. Finally, the method proposed in this chapter is verified by experiments. The experimental results show that the proposed method is effective.
Publisher
IOP Publishing
Subject
