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Method for automatically assigning visits to partially observable location data streams

机译:自动分配访问到部分可观察的位置数据流的方法

摘要

A system and method for automatically assigning visits to partially observable location data streams to maintain a geo-spatial model of a real world are provided. The method includes identifying a subset of a plurality of data streams that have a power-law characteristic in a time dimension or spatial dimension associated with the activity of the plurality of entities, modelling an activity of the plurality of entities to determine a region of uncertainty, obtaining a filtered activity of the entities, clustering the time dimension and the spatial dimension of the filtered activity using a stay points clustering method to generate at least one valid data stream, generating a confidence score for the at least one valid data stream, and assigning a visit of the plurality of entities to a point of interest (POI) based on the confidence score of the at least one valid data stream.
机译:提供用于自动分配对部分可观察的位置数据流以维持现实世界的地理空间模型的系统和方法。该方法包括识别与与多个实体的活动相关联的时间维度或空间维度中具有功率律特性的多个数据流的子集,以确定多个实体的活动以确定不确定性区域,使用停留点聚类方法获取实体的过滤活动,培养时间维度和过滤活动的空间维度来生成至少一个有效的数据流,为至少一个有效数据流生成置信度分数,以及基于至少一个有效数据流的置信度评分,将对多个实体的访问到兴趣点(POI)。

著录项

  • 公开/公告号US11050834B1

    专利类型

  • 公开/公告日2021-06-29

    原文格式PDF

  • 申请/专利权人 NEAR PTE. LTD.;

    申请/专利号US202017106094

  • 发明设计人 MADHUSUDAN THERANI;SHOBHIT SHUKLA;

    申请日2020-11-28

  • 分类号G06F15/16;H04L29/08;H04L29/06;

  • 国家 US

  • 入库时间 2024-06-14 21:44:02

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