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组合分类器在金融行业数据分类中的应用研究

陈江涛 吕建秋

计算机应用与软件2018,Vol.35Issue(2):325-329,333,6.
计算机应用与软件2018,Vol.35Issue(2):325-329,333,6.DOI:10.3969/j.issn.1000-386x.2018.02.059

组合分类器在金融行业数据分类中的应用研究

THE APPLICATION RESEARCH OF COMBINED CLASSIFIER IN FINANCIAL INDUSTRY DATA CLASSIFICATION

陈江涛 1吕建秋1

作者信息

  • 1. 华南农业大学 广东广州510642
  • 折叠

摘要

Abstract

The financial industry produces huge data every day,each financial enterprise should consider how to use these data effectively,but the current classification method are still flawed.Thus,a composite classification model based on the confidence weighting of C5.0,logistic and Bayesian classification methods is proposed and compared with other three classification method.The results show that the combined classifier model performed best.The combined classifier effectively improve the classification accuracy and avoid the classification defects of single classifier.

关键词

金融行业/客户分类/组合分类

Key words

Financial industry/Customer classification/Combined classification

分类

信息技术与安全科学

引用本文复制引用

陈江涛,吕建秋..组合分类器在金融行业数据分类中的应用研究[J].计算机应用与软件,2018,35(2):325-329,333,6.

计算机应用与软件

OA北大核心CSTPCD

1000-386X

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