Patents by Inventor Daniel Keogh

Daniel Keogh has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • DETECTING, DIAGNOSING, AND ALERTING ANOMALIES IN NETWORK APPLICATIONS
    Publication number: 20230401122
    Abstract: Techniques are described herein for evaluating user activities on a website for detecting and alerting anomalies with the website. For example, an alerting system may determine a set of time-windows for each of a set of attribute value(s) and use a set of performance metrics and/or web session events for the time-windows from historical web sessions to detect an anomaly in a current time-window. The alerting system may determine an evaluation range based on weighted performance ranges, and alert a client indicating a performance anomaly if a performance metric at the time of evaluation are out of the evaluation range. Attribute value(s) related to a website issue can be identified based on a correlated to anomalous web session events or to an anomalous time-window.
    Type: Application
    Filed: August 24, 2023
    Publication date: December 14, 2023
    Applicant: Quantum Metric, Inc.
    Inventors: Mario Luciano Ciabarra, Jr., Adam Dille, David Murphy, Mishig Davaadorj, Clara Richter, Daniel Keogh
  • Detecting, diagnosing, and alerting anomalies in network applications
    Patent number: 11789805
    Abstract: Techniques are described herein for evaluating user activities on a website for detecting and alerting anomalies with the website. For example, an alerting system may determine a set of time-windows for each of a set of attribute value(s) and use a set of performance metrics and/or web session events for the time-windows from historical web sessions to detect an anomaly in a current time-window. The alerting system may determine an evaluation range based on weighted performance ranges, and alert a client indicating a performance anomaly if a performance metric at the time of evaluation are out of the evaluation range. Attribute value(s) related to a website issue can be identified based on a correlated to anomalous web session events or to an anomalous time-window.
    Type: Grant
    Filed: February 2, 2022
    Date of Patent: October 17, 2023
    Assignee: Quantum Metric, Inc.
    Inventors: Mario Luciano Ciabarra, Jr., Adam Dille, David Murphy, Mishig Davaadorj, Clara Richter, Daniel Keogh
  • DETECTING, DIAGNOSING, AND ALERTING ANOMALIES IN NETWORK APPLICATIONS
    Publication number: 20220245013
    Abstract: Techniques are described herein for evaluating user activities on a website for detecting and alerting anomalies with the website. For example, an alerting system may determine a set of time-windows for each of a set of attribute value(s) and use a set of performance metrics and/or web session events for the time-windows from historical web sessions to detect an anomaly in a current time-window. The alerting system may determine an evaluation range based on weighted performance ranges, and alert a client indicating a performance anomaly if a performance metric at the time of evaluation are out of the evaluation range. Attribute value(s) related to a website issue can be identified based on a correlated to anomalous web session events or to an anomalous time-window.
    Type: Application
    Filed: February 2, 2022
    Publication date: August 4, 2022
    Applicant: Quantum Metric, Inc.
    Inventors: Mario Luciano Ciabarra, JR., Adam Dille, David Murphy, Mishig Davaadorj, Clara Richter, Daniel Keogh