Patents by Inventor Kevin Groch

Kevin Groch 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).

  • Data processing, analysis, and visualization system for use with disparate data types
    Publication number: 20060106783
    Abstract: A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operations that have been performed on the data. A system or method consistent with the present invention determines and displays the relative content and context of related information and is operative to aid in identifying relationships among disparate data types. Various data types, such as numerical data, protein and DNA sequence data, categorical information, and textual information, such as annotations associated with the numerical data or research papers may be correlated for visual analysis. A variety of user-selectable views may be correlated for user interaction to identify relationships that exist among the different types of data or various operations performed on the data.
    Type: Application
    Filed: November 21, 2005
    Publication date: May 18, 2006
    Inventors: Jeffrey Saffer, Augustin Calapristi, Nancy Miller, Randell Scarberry, Sarah Thurston, Susan Havre, Scott Decker, Deborah Payne, Heidi Sofia, Gregory Thomas, Lisa Stillwell, Guang Chen, Vernon Crow, Cory Albright, Sean Zabriskie, Kevin Groch, Joel Malard, Lucille Nowell
  • Data processing, analysis, and visualization system for use with disparate data types
    Publication number: 20060093222
    Abstract: A system or method consistent with an embodiment of the present invention is useful in analyzing large volumes of different types of data, such as textual data, numeric data, categorical data, or sequential string data, for use in identifying relationships among the data types or different operations that have been performed on the data. A system or method consistent with the present invention determines and displays the relative content and context of related information and is operative to aid in identifying relationships among disparate data types. Various data types, such as numerical data, protein and DNA sequence data, categorical information, and textual information, such as annotations associated with the numerical data or research papers may be correlated for visual analysis. A variety of user-selectable views may be correlated for user interaction to identify relationships that exist among the different types of data or various operations performed on the data.
    Type: Application
    Filed: November 21, 2005
    Publication date: May 4, 2006
    Inventors: Jeffrey Saffer, Gregory Thomas, Lisa Stillwell, Guang Chen, Vernon Crow, Cory Albright, Sean Zabriskie, Kevin Groch, Joel Malard, Lucille Nowell, Augustin Calapristi, Nancy Miller, Randall Scarberry, Sara Thurston, Susan Havre, Scott Decker, Deborah Payne, Heidi Sofia