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A computer implementation method for detecting unfair transactions using local sharp hash and local outlier factor algorithm

机译:一种使用本地夏普哈希和地方异常因素算法检测不公平交易的计算机实现方法

摘要

A method and system for detecting an illegal data point in a database of computerized systems from a user device Includes receiving a request for detecting one or more illegal data points in a database that stores data points representing electronic transactions.The system constructs feature vectors and K random vectors for each data point.After the construction, the system performs a combination of the local feature type hash algorithm and the local outlier factor (LOF) algorithm for the constructed feature vector and the constructed K random vectors to calculate the outlier score of each data point.The system detects an illegal data point based on an outlier score indicating the degree of consistency.
机译:用于从用户设备的计算机化系统数据库中检测非法数据点的方法和系统包括接收用于在存储代表电子事务的数据点的数据库中检测一个或多个非法数据点的请求。系统构造特征向量和k 每个数据点的随机向量。构造后,系统执行本地特征型散列算法和本地异常因素因子(LOF)算法的组合,用于构造的特征向量和构造的K随机向量,以计算每个的异常值 数据点。系统基于指示一致性程度的异常值分数检测非法数据点。

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