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Systems and methods for real-time determination of the semantics of a data stream

机译:用于实时确定数据流语义的系统和方法

摘要

The present invention is directed to a method and method which analyzes large amounts of information on a real-time basis with no previous static data set. Attributes of the data, which can be thought of as data concepts, that are present in the data stream are detected and isolated. These concepts are referred to as clusters and are used to ultimately determine the semantics of the data stream. The streaming clusters have no “current membership” in the existing state of the clustering and thus the cluster sets, and their relationship to each other, must be generated and updated as the data is being received.
机译:本发明针对一种方法和方法,其在没有先前静态数据集的情况下实时地分析大量信息。检测并隔离数据流中存在的数据属性,可以将其视为数据概念。这些概念称为群集,用于最终确定数据流的语义。流式群集在群集的现有状态中没有“当前成员身份”,因此在接收数据时必须生成和更新群集集及其相互之间的关系。

著录项

  • 公开/公告号US8788701B1

    专利类型

  • 公开/公告日2014-07-22

    原文格式PDF

  • 申请/专利权人 JOHN BYRNES;RICHARD ROHWER;

    申请/专利号US20060509930

  • 发明设计人 JOHN BYRNES;RICHARD ROHWER;

    申请日2006-08-25

  • 分类号G06F15/173;

  • 国家 US

  • 入库时间 2022-08-21 16:02:41

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