Patents by Inventor Krishnan PR

Krishnan PR 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).

  • Visualizing high cardinality categorical data
    Patent number: 9613106
    Abstract: A computer-program causing a computing device to perform an association measurement between a target variable and each non-target variable of a data set; select non-target variables for inclusion in a visualization based on the degree of association; perform correspondence analysis between target values of the target variable and non-target values of each selected non-target variable; order target value markers within a target row based on the degrees of closeness; order non-target value markers within each non-target row based on the degrees of closeness; determine a width of each target value marker based on a frequency of occurrence of its target value in the data set; determine a width of each non-target value marker based on a frequency of occurrence of its non-target value in the data set; and cause generation of the visualization with connection markers emanating from the target value markers and extending among the non-target value markers.
    Type: Grant
    Filed: April 24, 2014
    Date of Patent: April 4, 2017
    Assignee: SAS INSTITUTE INC.
    Inventors: Krishnan Pr, Prasad Pawar
  • VISUALIZING HIGH CARDINALITY CATEGORICAL DATA
    Publication number: 20140324738
    Abstract: A computer-program causing a computing device to perform an association measurement between a target variable and each non-target variable of a data set; select non-target variables for inclusion in a visualization based on the degree of association; perform correspondence analysis between target values of the target variable and non-target values of each selected non-target variable; order target value markers within a target row based on the degrees of closeness; order non-target value markers within each non-target row based on the degrees of closeness; determine a width of each target value marker based on a frequency of occurrence of its target value in the data set; determine a width of each non-target value marker based on a frequency of occurrence of its non-target value in the data set; and cause generation of the visualization with connection markers emanating from the target value markers and extending among the non-target value markers.
    Type: Application
    Filed: April 24, 2014
    Publication date: October 30, 2014
    Applicant: SAS Institute Inc.
    Inventors: Krishnan PR, Prasad Pawar