HGsuspector: Scalable Collective Fraud Detection in Heterogeneous Graphs

HGsuspector：可扩展的集体欺诈检测异构图

论文核心思想：

　　　　　　(1)将定向异构图分解为一组二分图

　　　　　　(2)在每个连接得二分图上定义一个度量，并计算它的得分，它融合了结构信息和事件概率。

论文的步骤：

　　　　　　(1)论述可简化异构图的可行性

　　　　　　(2)提出了连接二分图的度量标准

　　　　　　(3)提出了密度函数p(i, j)用于增强对于检验子图的能力，并且列出了几个边缘密度函数，对于每个边缘密度函数，它对应于欺诈模式检测到的具体的问题域

　　　　　　(4)HGsuspector具有非常高的效率，可以处理具有十亿个节点和边缘的大图，并可计算连通的二分图的分数。

论文写作路径：

　　　　　　(1)陈述最近关于基于图的异常检测算法的工作

　　　　　　(2)提出HGsuspector的算法

　　　　　　(3)和其它的算法进行比较

　　　　　　(4)对提出的算法进行总结并讨论一些相关的工作

原文地址：https://www.cnblogs.com/wangmengzhu/p/10806869.html

时间： 2024-07-30 08:53:37

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