计算机应用与软件2024，Vol.41Issue(4)：101-105,5.DOI:10.3969/j.issn.1000-386x.2024.04.016
基于特征相似度降采样的交易欺诈预测模型
TRANSACTION FRAUD PREDICTION MODEL BASED ON FEATURE SIMILARITY DOWN-SAMPLING
邹勇 1林芃 1马振伟1
作者信息
- 1. 中国银联股份有限公司 上海 200135
- 折叠
摘要
Abstract
In the scenario of transaction fraud evaluation,the proportion of positive and negative samples is extremely different,so it is necessary to sample the samples to solve the sample imbalance.Due to the loss of sample information in the traditional sampling process,the accuracy of model prediction is not very high.Aimed at this kind of situation,a model construction method based on feature similarity down-sampling is proposed.This method mainly included three parts.(1)According to the sample data,an effective feature set related to fraud was constructed.(2)By introducing the sample difference function,as much sample information as possible was retained when down-sampling.(3)Multiple classifiers were fused to output the fraud probability.This method was compared with other common sampling methods.Experimental results show that this method has better evaluation results.关键词
降采样/欺诈预测/集成学习Key words
Down-sampling/Fraud prediction/Integrated learning分类
信息技术与安全科学引用本文复制引用
邹勇,林芃,马振伟..基于特征相似度降采样的交易欺诈预测模型[J].计算机应用与软件,2024,41(4):101-105,5.
