Patents by Inventor Eli Yawo Amesefe

Eli Yawo Amesefe 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).

  • Patent number: 8887286
    Abstract: The present disclosure describes a continuous anomaly detection method and system based on multi-dimensional behavior modeling and heterogeneous information analysis. A method includes collecting data, processing and categorizing a plurality of events, continuously clustering the plurality of events, continuously model building for behavior and information analysis, analyzing behavior and information based on a holistic model, detecting anomalies in the data, displaying an animated and interactive visualization of a behavioral model, and displaying an animated and interactive visualization of the detected anomalies.
    Type: Grant
    Filed: September 23, 2013
    Date of Patent: November 11, 2014
    Inventors: Laurent Dupont, Elizabeth B. Charnock, Steve Roberts, Eli Yawo Amesefe, Keith Eric Schon, Richard Thomas Oehrle
  • Publication number: 20140096249
    Abstract: The present disclosure describes a continuous anomaly detection method and system based on multi-dimensional behavior modeling and heterogeneous information analysis. A method includes collecting data, processing and categorizing a plurality of events, continuously clustering the plurality of events, continuously model building for behavior and information analysis, analyzing behavior and information based on a holistic model, detecting anomalies in the data, displaying an animated and interactive visualization of a behavioral model, and displaying an animated and interactive visualization of the detected anomalies.
    Type: Application
    Filed: September 23, 2013
    Publication date: April 3, 2014
    Applicant: Cataphora, Inc.
    Inventors: Laurent Dupont, Elizabeth B. Charnock, Steve Roberts, Eli Yawo Amesefe, Keith Eric Schon, Richard Thomas Oehrle
  • Publication number: 20120137367
    Abstract: The present disclosure describes a continuous anomaly detection method and system based on multi-dimensional behavior modeling and heterogeneous information analysis. A method includes collecting data, processing and categorizing a plurality of events, continuously clustering the plurality of events, continuously model building for behavior and information analysis, analyzing behavior and information based on a holistic model, detecting anomalies in the data, displaying an animated and interactive visualization of a behavioral model, and displaying an animated and interactive visualization of the detected anomalies.
    Type: Application
    Filed: November 8, 2010
    Publication date: May 31, 2012
    Applicant: Cataphora, Inc.
    Inventors: Laurent Dupont, Elizabeth B. Charnock, Steve Roberts, Eli Yawo Amesefe, Keith Eric Schon, Richard Thomas Oehrle