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SYSTEM AND METHOD FOR DETERMINATION OF CAUSALITY BASED ON BIG DATA ANALYSIS

机译:基于大数据分析的因果关系确定系统和方法

摘要

A method and system for determining causality based on big data analysis are provided. The method comprises extracting a plurality of unstructured data elements from a plurality of unstructured big data sources; generating at least one signature for each of the plurality of unstructured data elements; identifying at least one common pattern within the signatures of the plurality of unstructured data elements; matching the at least one common pattern to at least one hypothesis by comparing at least one signature of the common pattern to at least one hypothesis; and determining the causality of the at least one common pattern based on the at least one hypothesis matching the at least one common pattern.
机译:提供了一种基于大数据分析确定因果关系的方法和系统。该方法包括从多个非结构化大数据源中提取多个非结构化数据元素;为多个非结构化数据元素中的每一个生成至少一个签名;在多个非结构化数据元素的签名中识别至少一个公共模式;通过将所述共同模式的至少一个签名与至少一个假设进行比较来使所述至少一种共同模式与至少一个假设相匹配;以及基于与至少一种公共模式匹配的至少一个假设,确定至少一种公共模式的因果关系。

著录项

  • 公开/公告号US2014156628A1

    专利类型

  • 公开/公告日2014-06-05

    原文格式PDF

  • 申请/专利权人 CORTICA LTD.;

    申请/专利号US201414171158

  • 申请日2014-02-03

  • 分类号G06F17/30;

  • 国家 US

  • 入库时间 2022-08-21 16:06:09

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