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PATTERN ANALYTICS FOR REAL-TIME DETECTION OF KNOWN SIGNIFICANT PATTERN SIGNATURES

机译:实时检测已知重要特征码的特征码分析

摘要

A method includes reading a plurality of historical data from a storage. The method also includes generating, using a processor, a candidate pattern list. The method also includes determining, using the points stored in the candidate pattern list, whether at least one maximal clique exists in the candidate pattern list, each maximal clique indicating a known significant pattern. The method further includes, in response to determining that at least one maximal clique exists in the candidate pattern list, for each of the at least one maximal cliques, determining a signature of the maximal clique and storing the signature of the maximal clique and an identifier identifying the known significant pattern to a library in the storage. The method further includes determining causal relationships between the identified significant patterns and storing in the library.
机译:一种方法包括从存储器读取多个历史数据。该方法还包括使用处理器生成候选模式列表。该方法还包括使用候选模式列表中存储的点来确定候选模式列表中是否存在至少一个最大集团,每个最大集团指示已知的重要模式。该方法还包括:响应于确定在候选模式列表中存在至少一个最大集团,对于至少一个最大集团中的每个,确定最大集团的签名并存储最大集团的签名和标识符。确定存储中库的已知有效模式。该方法还包括确定所识别的有效模式之间的因果关系并将其存储在库中。

著录项

  • 公开/公告号US2017140295A1

    专利类型

  • 公开/公告日2017-05-18

    原文格式PDF

  • 申请/专利权人 CA INC.;

    申请/专利号US201514940830

  • 发明设计人 VIDARSHANA WIJETHILAKA BANDARA;

    申请日2015-11-13

  • 分类号G06N7/02;G06F17/30;G06N7;

  • 国家 US

  • 入库时间 2022-08-21 13:51:18

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