John C. Brocklebank - Raleigh NC Bruce S. Weir - Raleigh NC Wendy Czika - Raleigh NC
Assignee:
SAS Institute Inc. - Cary NC
International Classification:
G06F 1730
US Classification:
707100, 707 5, 707 2
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.
Method For Selecting Node Variables In A Binary Decision Tree Structure
John C. Brocklebank - Raleigh NC, US Bruce S. Weir - Raleigh NC, US Wendy Czika - Raleigh NC, US
Assignee:
SAS Institute Inc. - Cary NC
International Classification:
G06F 17/00
US Classification:
707101, 707 2, 707 5, 707100, 707102
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.
Method For Selecting Node Variables In A Binary Decision Tree Structure
John C. Brocklebank - Raleigh NC, US Bruce S. Weir - Seattle WA, US Wendy Czika - Cary NC, US
Assignee:
SAS Institute Inc. - Cary NC
International Classification:
G06G 7/48 G06F 19/00 C12Q 1/00
US Classification:
703 11, 702 20, 435 4
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.
Name / Title
Company / Classification
Phones & Addresses
Bruce Weir Owner
Weir Custom Woodworking Woodworking
5959 River Road, Qualicum Beach, BC V9K 1Z5 250 757-9303
Bruce Weir Director
Harborview Medical Center Colleges, Universities, and Professional Scho...
1959 Ne Pacific St # 356340, Seattle, WA 98195
Bruce Weir Owner
Weir Custom Woodworking Woodworking
250 757-9303
Bruce Weir Director
University of Washington Medical Center Service League Medical Doctor's Office
Esr New Zealand 2012 - 2016
Ssap Member
University of Washington 2012 - 2016
Professor and Chair, Department of Biostatistics
North Carolina State University Feb 1, 1976 - Dec 31, 2005
Professor
Education:
University of California, Davis 1969 - 1969
North Carolina State University 1965 - 1968
Doctorates, Doctor of Philosophy, Genetics, Statistics, Philosophy
University of Canterbury 1962 - 1964
Bachelors, Bachelor of Science, Mathematics
Shirley Boys' High School
Skills:
Bioinformatics Genetics Biostatistics Population Genetics Statistics Science Computational Biology Pcr Genomics Research Dna Molecular Biology Data Analysis Teaching Experimental Design R University Teaching Higher Education Statistical Consulting Bayesian Statistics Statistical Modeling Dna Extraction Sequence Analysis Microarray Analysis
Bruce Weir (1974-1978), Shin Iisaka (1988-1992), Jane Papineau (1978-1982), Judy Judy Bryson (1977-1981), Leonard Mayor (1972-1976), Louise Rocheleau (1969-1973)