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Cognitive fraud detection through variance-based network analysis

机译:通过基于方差的网络分析进行认知欺诈检测

摘要

Methods and apparatus, including computer program products, implementing and using techniques for identifying pathways in a graph of interconnected nodes. A time series of graph data is captured, which corresponds to events occurring at different nodes in the graph. The graph is traversed to identify consistent and variable pathways, respectively, within the graph. The identified pathways are scored according to a particular feature to establish an expected variance model for the events contained within the graph. Newly received data are compared against the expected variance model to determine a degree to which the newly received data deviates from the expected variance. The variance model is adjusted based on the newly encountered data.
机译:包括计算机程序产品的方法和装置,其实现和使用用于识别互连节点的图中的路径的技术。捕获图形数据的时间序列,该时间序列对应于在图形中不同节点上发生的事件。遍历图形以分别识别图形内的一致路径和可变路径。根据特定特征对识别出的路径进行评分,以为图中包含的事件建立预期的方差模型。将新接收到的数据与预期方差模型进行比较,以确定新接收到的数据偏离预期方差的程度。根据新遇到的数据调整方差模型。

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