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SYSTEM AND METHOD OF DETECTING COMMON PATTERNS WITHIN UNSTRUCTURED DATA ELEMENTS RETRIEVED FROM BIG DATA SOURCES

机译:从大数据源检索的非结构化数据元素中检测公共模式的系统和方法

摘要

A method and system for detection of common patterns within unstructured data elements. The method includes searching a plurality of unstructured data elements extracted from big data sources to identify a plurality of patches; extracting the identified plurality of patches; generating, by a signature generator system, at least one signature for each patch; identifying common patterns among the at least one generated signature; clustering the signatures having the identified common patterns; and correlating the generated clusters to identify associations between the respective identified common patterns.
机译:一种用于检测非结构化数据元素中的公共模式的方法和系统。该方法包括搜索从大数据源提取的多个非结构化数据元素以识别多个补丁;提取所识别的多个补丁;由签名生成器系统为每个补丁生成至少一个签名;在至少一个生成的签名中识别通用模式;聚类具有识别出的通用模式的签名;以及关联所产生的集群以识别各个所识别的公共模式之间的关联。

著录项

  • 公开/公告号US2016124971A1

    专利类型

  • 公开/公告日2016-05-05

    原文格式PDF

  • 申请/专利权人 CORTICA LTD.;

    申请/专利号US201614994435

  • 申请日2016-01-13

  • 分类号G06F17/30;

  • 国家 US

  • 入库时间 2022-08-21 14:34:27

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