proc varreduce

15 papers; 15 titles.

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Conference ×	Year ×	Title ×	Authors	Extras	Pages
SGF	2019	A Comparison of Algorithmic and Epidemiologic Approaches for Modeling Predictors of Type II Diabetes	Audrey Whittle	source	8
SGF	2018	Do You Need to Put Your Data on a Diet?	Howard Plemmons Jr., Priya Sharma	source	7
SGF	2016	Application of Gradient Boosting through SAS Enterprise Miner to Classify Human Activities	Minh Pham, Mary Ruppert-Stroescu, Mostakim Tanjil	source presentation	8
SGF	2016	Big Data, Big Headaches: An Agile Modeling Solution Designed for the Information Age	Mariam Seirafi	source	13
SGF	2016	Reducing and Screening Redundant Variables in Logistic Regression Models Using SAS/STAT Software and SAS Enterprise Miner	Xinghe Lu	source	10
SGF	2015	Entropy-Based Measures of Weight of Evidence and Information Value for Variable Reduction and Segmentation for Continuous Dependent Variables	Alec Zhixiao Lin	source	27
SESUG	2014	Expanding the Use of Weight of Evidence and Information Value to Continuous Dependent Variables for Variable Reduction and Scorecard Development	Alec Zhixiao Lin, Tung-Ying Hsieh		23
PHUSE EU	2014	Population Segmentation in a Healthcare Environment	MaryAnne DePesquo	source presentation source	5
SGF	2014	Customer Profiling for Marketing Strategies in a Healthcare Environment	MaryAnne DePesquo	source	7
SGF	2013	Using Data Mining in Forecasting Problems	Chip Wells, Justin Kauhl, Timothy Rey	source	17
SGF	2013	Variable Reduction in SAS by Using Weight of Evidence and Information Value	Alec Zhixiao Lin	source	12
NESUG	2006	Variable Selection in the Credit Card Industry	Alec Cheng, Moez Hababo, Ray Falk		5
WUSS	2005	Principal Component Analysis vs. Exploratory Factor Analysis	Diana D. Suhr	source	10
SUGI	2005	Principal Component Analysis versus Exploratory Factor Analysis	Diana D. Suhr	source	11
NESUG	2001	Untangling Correlated Predictors with Principle Components	David R. Roberts		5

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