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System and method for presenting suspect activity within a timeline

  • US 10,460,377 B2
  • Filed: 10/20/2010
  • Issued: 10/29/2019
  • Est. Priority Date: 10/20/2010
  • Status: Active Grant
First Claim
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1. A computer system for fraud detection, the system comprising:

  • a processor;

    a presentation engine;

    an analytics engine;

    a memory;

    storing data describing;

    activity data of a suspect activity, the suspect activity being associated with an account; and

    account data of at least one balance metric for the account, the account data including at least two of;

    a ledger balance representing an amount of money reported to a customer of the account,an available balance representing an accessible amount of money, anda collected balance representing an amount of money collected by a financial institution; and

    storing executable instructions that when executed by the processor cause the presentation engine and the analytics engine to perform operations comprising;

    receiving, via the analytics engine, an indication of a suspect activity;

    displaying, via the presentation engine, a representation of the suspect activity on a graphical user interface, based on the indication of the suspect activity;

    displaying, via the presentation engine, a representation of differences on the graphical user interface, the representation comprising differences between at least two of a ledger balance, an available balance, and a collected balance;

    determining, by the analytics engine, local minimums of the representation of differences;

    displaying, via the presentation engine, a lower concave hull between the local minimums of the representation of differences on the graphical user interface;

    determining, by the analytics engine, a set of user interface components associated with at least one reason code, wherein the reason code is indicative of the suspect activity;

    selecting, by the analytics engine, based on the at least one reason code, one of the representations of the suspect activity, the representation of the differences, or the representation of a timeline;

    selecting, by the analytics engine, a period of time based on the at least one reason code associated with the suspect activity and indicative of at least one basis for classifying the activity as suspect;

    determining, by the analytics engine, a priority order of the representation of the suspect activity, the representation of the differences, and the representation of the timeline to reflect the selection;

    displaying, via the presentation engine, based on the priority order, a representation of the timeline on the graphical user interface, the timeline comprising an indication of activity during the period of time identified as potentially fraudulent; and

    emphasizing a subset of data displayed on the graphical user interface, based on one or more determinations for an improved end-user workflow.

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