System and method of detecting common patterns within unstructured data elements retrieved from big data sources

    公开(公告)号:US10191976B2

    公开(公告)日:2019-01-29

    申请号:US14994435

    申请日:2016-01-13

    Applicant: Cortica, Ltd.

    Abstract: 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.

    SYSTEM AND METHOD FOR CONTEXTUALLY ENRICHING A CONCEPT DATABASE

    公开(公告)号:US20180025020A1

    公开(公告)日:2018-01-25

    申请号:US15722608

    申请日:2017-10-02

    Applicant: Cortica, Ltd.

    Abstract: A system and method for contextually enriching a concept database. The method includes determining, based on at least one signature of a first multimedia data element (MMDE) and signatures of a plurality of third concepts stored in the concept database, at least one matching first concept among the plurality of third concepts; generating a reduced representation of the first MMDE; comparing the reduced representation of the first MMDE to signatures representing a plurality of second MMDEs to determine a plurality of matching MMDEs among the plurality of second MMDEs; generating, based on the reduced representation of the first MMDE and the signatures representing the plurality of matching MMDEs, a second concept; and generating at least one context based on the second concept and the plurality of third concepts, wherein each context includes at least one common pattern among the second concept and at least one of the plurality of third concepts.

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