Invention Grant
US09256668B2 System and method of detecting common patterns within unstructured data elements retrieved from big data sources 有权
检测从大数据源检索的非结构化数据元素中的共同模式的系统和方法

  • Patent Title: System and method of detecting common patterns within unstructured data elements retrieved from big data sources
  • Patent Title (中): 检测从大数据源检索的非结构化数据元素中的共同模式的系统和方法
  • Application No.: US14013740
    Application Date: 2013-08-29
  • Publication No.: US09256668B2
    Publication Date: 2016-02-09
  • Inventor: Igal RaichelgauzKarina OrdinaevYehoshua Y. Zeevi
  • Applicant: CORTICA, LTD.
  • Applicant Address: IL Tel Aviv
  • Assignee: Cortica, Ltd.
  • Current Assignee: Cortica, Ltd.
  • Current Assignee Address: IL Tel Aviv
  • Agency: M&B IP Analysts, LLC
  • Priority: IL171577 20051026; IL173409 20060129; IL185414 20070821
  • Main IPC: G06F17/30
  • IPC: G06F17/30
System and method of detecting common patterns within unstructured data elements retrieved from big data sources
Abstract:
A method for detection of common patterns within unstructured data elements. The method includes extracting a plurality of unstructured data elements retrieved from a plurality of big data sources; generating at least one signature for each of the plurality of unstructured data elements; identifying common patterns among the generated signatures; clustering the signatures identified to have common patterns; and correlating the generated clusters to identify associations between their respective identified common patterns.
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