Patents by Inventor Wendy Czika

Wendy Czika 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: 7809539
    Abstract: A method for selecting node variables in a binary decision tree structure is provided. The binary decision tree is formed by mapping node variables to known outcome variables. The method calculates a statistical measure of the significance of each input variable in an input data set and then selects an appropriate node variable on which to base the structure of the binary decision tree using an averaged statistical measure of the input variable and any co-linear input variables of the data set.
    Type: Grant
    Filed: December 6, 2002
    Date of Patent: October 5, 2010
    Assignee: SAS Institute Inc.
    Inventors: John C. Brocklebank, Bruce S. Weir, Wendy Czika
  • Patent number: 7127466
    Abstract: A method for selecting node variables in a binary decision tree structure is provided. The binary decision tree is formed by mapping node variables to known outcome variables. The method calculates a statistical measure of the significance of each input variable in an input data set and then selects an appropriate node variable on which to base the structure of the binary decision tree using an averaged statistical measure of the input variable and any co-linear input variables of the data set.
    Type: Grant
    Filed: March 10, 2003
    Date of Patent: October 24, 2006
    Assignee: SAS Institute Inc.
    Inventors: John C. Brocklebank, Bruce S. Weir, Wendy Czika
  • Publication number: 20030172062
    Abstract: A method for selecting node variables in a binary decision tree structure is provided. The binary decision tree is formed by mapping node variables to known outcome variables. The method calculates a statistical measure of the significance of each input variable in an input data set and then selects an appropriate node variable on which to base the structure of the binary decision tree using an averaged statistical measure of the input variable and any co-linear input variables of the data set.
    Type: Application
    Filed: March 10, 2003
    Publication date: September 11, 2003
    Inventors: John C. Brocklebank, Bruce S. Weir, Wendy Czika
  • Publication number: 20030078936
    Abstract: A method for selecting node variables in a binary decision tree structure is provided. The binary decision tree is formed by mapping node variables to known outcome variables. The method calculates a statistical measure of the significance of each input variable in an input data set and then selects an appropriate node variable on which to base the structure of the binary decision tree using an averaged statistical measure of the input variable and any co-linear input variables of the data set.
    Type: Application
    Filed: December 6, 2002
    Publication date: April 24, 2003
    Inventors: John C. Brocklebank, Bruce S. Weir, Wendy Czika
  • Patent number: 6532467
    Abstract: A method for selecting node variables in a binary decision tree structure is provided. The binary decision tree is formed by mapping node variables to known outcome variables. The method calculates a statistical measure of the significance of each input variable in an input data set and then selects an appropriate node variable on which to base the structure of the binary decision tree using an averaged statistical measure of the input variable and any co-linear input variables of the data set.
    Type: Grant
    Filed: April 10, 2000
    Date of Patent: March 11, 2003
    Assignee: SAS Institute Inc.
    Inventors: John C. Brocklebank, Bruce S. Weir, Wendy Czika