SYSTEMS AND METHODS FOR IDENTIFYING AND CHARACTERIZING SIGNALS CONTAINED IN A DATA STREAM

    公开(公告)号:US20180189399A1

    公开(公告)日:2018-07-05

    申请号:US15394586

    申请日:2016-12-29

    Applicant: Google Inc.

    CPC classification number: G06N20/00 G06F16/26 G06Q50/01

    Abstract: Methods, systems, and apparatus, including computer programs encoded on computer storage media, for identifying and characterizing signals contained in a data stream. One of the methods includes: obtaining an historical time distribution of event counts associated with a topic for a relevant time period; extracting a predictable portion of the historical time distribution of event counts to produce a residual event count time distribution including residual event counts at successive times; determining a residual triggering threshold based on the residual event count time distribution; and taking an action when a residual event count exceeds the residual triggering threshold. The action can include providing a notification to a user of a spike in event counts associated with the topic.

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