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SYSTEMS AND METHODS FOR ADAPTIVELY IDENTIFYING AND MITIGATING STATISTICAL OUTLIERS IN AGGREGATED DATA

机译:自适应识别和缓解聚合数据中统计异常的系统和方法

摘要

The disclosed embodiments include computerized methods and systems that facilitate automated detection and precision correction of aggregated data collected by multiple, geographically dispersed mobile communications devices. In one embodiment, an apparatus detect a data outlier within portions of the aggregated data having numerical and/or categorical values. The apparatus may transmit information identifying the data outliner and a portion of the aggregated data that includes the data outlier to an additional communications device, which may present the aggregated data portion to a user in a manner that visually distinguishes the data outlined from other elements of aggregated data. In response to a request from the additional communications device, the apparatus may modify portions of the aggregated data in an effort to mitigate the data outlier.
机译:公开的实施例包括计算机化的方法和系统,其促进对由多个地理上分散的移动通信设备收集的聚合数据的自动检测和精确校正。在一个实施例中,一种设备在聚合数据的具有数值和/或分类值的部分内检测数据离群值。该装置可以将标识数据概述器的信息和包括该数据离群值的一部分聚合数据发送到另一通信设备,该另一通信设备可以以视觉上将概述数据与其他元素分开的方式向用户呈现该聚合数据部分。汇总数据。响应于来自附加通信设备的请求,该设备可以修改聚合数据的部分,以减轻数据离群值。

著录项

  • 公开/公告号US2016048552A1

    专利类型

  • 公开/公告日2016-02-18

    原文格式PDF

  • 申请/专利权人 FINCA INTERNATIONAL INC.;

    申请/专利号US201514826019

  • 发明设计人 SCOTT GRAHAM;ANAHIT TEVOSYAN;

    申请日2015-08-13

  • 分类号G06F17/30;

  • 国家 US

  • 入库时间 2022-08-21 14:36:37

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