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US Patent 10409367 Predictive graph selection

Patent 10409367 was granted and assigned to CA (journal) on September, 2019 by the United States Patent and Trademark Office.

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Patent Applicant

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Current Assignee

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Patent Jurisdiction

United States Patent and Trademark Office

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Patent Number

Patent Inventor Names

Maria Velez-Rojas0

Ye Chen0

Jin Zhang0

Steven Greenspan0

Date of Patent

September 10, 2019

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Patent Application Number

153863540

Date Filed

December 21, 2016

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Patent Citations Received

US Patent 11968109 Systems and methods for identifying correlations of certain scenarios to performance of network communications

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US Patent 11496386 Systems and methods for identifying correlations of certain scenarios to performance of network communications

US Patent 10810262 System and method for dashboard selection

US Patent 11244106 Task templates and social task discovery

US Patent 11645528 Continuous learning neural network system using rolling window

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US Patent 11481622 Continuous learning neural network system using rolling window

Patent Primary Examiner

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Patent abstract

Provided is a process of configuring a dashboard of a graphical user interface, the process including: obtaining identifiers of metrics; obtaining features that are properties of the metrics; accessing in a graph-effectiveness matrix effectiveness scores corresponding to the features; selecting a plurality of graphs to graphically represent the metrics in a dashboard; and instructing a computing device to display the dashboard.

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