A intelligent risk detection method in online transactions

M. Xu, Yifan Chu
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引用次数: 1

Abstract

To address the issue of risk detection in e-commerce platform, this paper presents an intelligent risk detection method that can detect risk quickly and accurately without hampering the performance of the system. This method makes full use of all kinds of data collected in on-line transactions and extracts the features from them. Some theorems such as Bayes network and clustering are also introduced to classify the featured data and finally work out a solution for risk detection.
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一种在线交易智能风险检测方法
针对电子商务平台中的风险检测问题,本文提出了一种智能风险检测方法,能够在不影响系统性能的前提下快速准确地检测出风险。该方法充分利用在线交易中收集到的各种数据,并从中提取特征。并引入贝叶斯网络、聚类等定理对特征数据进行分类,最终得出风险检测的解决方案。
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