THE COMMUNITY ARCHIVE

SAS Global Forum 2016 Papers ArchivePage 8

Browse indexed publications from SAS Global Forum in 2016. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.

463 papers · Showing 281–320

SAS Global Forum · 2016Paper 8220-2016SAS Global Forum 2016

Optimizing SAS® on Red Hat Enterprise Linux (RHEL) 6 and 7

Barry Marson, Red Hat, Inc

Source category: Conference presentation

SAS Global Forum · 2016Paper SAS1760-2016SAS Global Forum 2016

Outlier Detection Using the Forward Search in SAS/IML® Studio

Jos Polfliet, SAS

Source category: Conference presentation

SAS Global Forum · 2016Paper 11260-2016SAS Global Forum 2016

Partial Promotion of SAS® Content: Tips and Tricks for Business Users

Andrew Howell, ANJ Solutions P/L

Source category: Conference presentation

Presentation / Poster Presentation / Poster

SAS Global Forum · 2016Paper 10381-2016SAS Global Forum 2016

Pastries, Microbreweries, Diamonds, and More: Small Businesses Can Profit with SAS®

Cameron Jagoe, The University of Alabama; Taylor Larkin, The University of Alabama; Denise McManus, University of Alabama

Source category: Conference presentation

Presentation / Poster Presentation / Poster

SAS Global Forum · 2016Paper SAS6560-2016SAS Global Forum 2016

Pedal-to-the-Metal Analytics with SAS® Studio, SAS® Visual Analytics, and SAS® Visual Statistics

Manuel Figallo, SAS

Source category: Conference presentation

SAS Global Forum · 2016Paper 11206-2016SAS Global Forum 2016

Performance Issues and Solutions: SAS® with Hadoop

Anjan Matlapudi,, AmeriHealth Caritas Family of Companies

Source category: Conference presentation

SAS Global Forum · 2016Paper 9742-2016SAS Global Forum 2016

Performance Measures Presented with SAS® Visual Analytics

Bill Schneider, North Carolina Community College System

Source category: Conference presentation

SAS Global Forum · 2016Paper 9660-2016SAS Global Forum 2016

Performing Efficient Wide-to-Long Transposes on Teradata Tables Using SAS® Explicit Pass-Through

Tao Cheng, Accenture

Source category: Conference presentation

SAS Global Forum · 2016Paper 2480-2016SAS Global Forum 2016

Performing Pattern Matching by Using Perl Regular Expressions

Arthur Li, City of Hope

Source category: Conference presentation

SAS Global Forum · 2016Paper 2600-2016SAS Global Forum 2016

Personal Lending: Customer Credit and Pricing Optimization

Yuri Medvedev, Bank of Montreal

Source category: Conference presentation

SAS Global Forum · 2016Paper 1820-2016SAS Global Forum 2016

Portfolio Optimization with Discontinuous Constraint

Taras Zlupko, University of Chicago; Robert Spatz, University of Chicago

Source category: Conference presentation

Paper Paper Presentation / Poster

SAS Global Forum · 2016Paper 9361-2016SAS Global Forum 2016

Predicting Forest Fire Occurrence and Incremental Fire Rate Using SAS® 9.4 and SAS® Enterprise Miner™ 14.1

Quyen Nguyen, Oklahoma State University

Source category: Conference presentation

SAS Global Forum · 2016Paper 11846-2016SAS Global Forum 2016

Predicting Human Activity Sensor Data Using an Auto Neural Model with Stepwise Logistic Regression Inputs

Venkata Vennelakanti, Oklahoma State University

Source category: Conference presentation

Paper Paper Presentation / Poster

SAS Global Forum · 2016Paper 9621-2016SAS Global Forum 2016

Predicting If Mental Health Facilities Will Offer Free Treatment to Patients Who Cannot Afford It

Ram Poudel, Oklahoma state university; Lynn Xiang, Oklahoma State University

Source category: Conference presentation

SAS Global Forum · 2016Paper 11681-2016SAS Global Forum 2016

Predicting Occurrence Rate of Systemic Lupus Erythematosus and Rheumatoid Arthritis in Pregnant Women

Ravikrishna Vijaya Kumar, Oklahoma State University; SHRIE RAAM SATHYANARAYANAN, Oklahoma State University - Center for Health Sciences

Source category: Conference presentation

SAS Global Forum · 2016Paper 11140-2016SAS Global Forum 2016

Predicting Rare Events Using Specialized Sampling Techniques in SAS®

Rhupesh Damodaran Ganesh Kumar, Oklahoma State University (SAS and OSU data mining Certificate); Kiren Raj Mohan Jagan Mohan, Zions Bancorporation

Source category: Conference presentation

SAS Global Forum · 2016Paper 11779-2016SAS Global Forum 2016

Predicting Response Time for the First Reply after a Question Is Posted in the SAS® Community Forum

Praveen Kumar Kotekal, Oklahoma State University

Source category: Conference presentation

Presentation / Poster Presentation / Poster

SAS Global Forum · 2016Paper 9820-2016SAS Global Forum 2016

Predicting the Current Market Value of a Housing Unit across the Four Census Regions of the United States Using SAS® Enterprise Miner™ 12.3

Mostakim Tanjil, Oklahoma State University; Goutam Chakraborty, Oklahoma State University

Source category: Conference presentation

Paper Paper Presentation / Poster

SAS Global Forum · 2016Paper 11671-2016SAS Global Forum 2016

Predicting the Influence of Demographics on Domestic Violence Using SAS® Enterprise Guide® 6.1 and SAS® Enterprise Miner™ 12.3

Soumil Mukherjee, Oklahoma State University; Goutam Chakraborty, Oklahoma State University; Miriam McGaugh, Oklahoma state department of Health

Source category: Conference presentation

Presentation / Poster Presentation / Poster

SAS Global Forum · 2016Paper 3420-2016SAS Global Forum 2016

Predictive Analytics in Credit Scoring: Challenges and Practical Resolutions

Regina Malina, Equifax

Source category: Conference presentation

SAS Global Forum · 2016Paper SAS6501-2016SAS Global Forum 2016

Preparing for a SAS® 9.4 Deployment and Managing that Deployment Throughout Its Lifecycle

Alec Fernandez, SAS

Source category: Conference presentation

SAS Global Forum · 2016Paper 4120-2016SAS Global Forum 2016

Prescriptive Analytics - Providing the Instruction to Do What's Right

Tho Nguyen, Teradata; Fiona McNeill, SAS

Source category: Conference presentation

Paper Paper Presentation / Poster

SAS Global Forum · 2016Paper 7861-2016SAS Global Forum 2016

Probability Density for Repeated Events

Bruce Lund, Magnify Analytic Solutions, Division of Marketing Associates

Source category: Conference presentation

SAS Global Forum · 2016Paper 3440-2016SAS Global Forum 2016

PROC DATASETS: The Swiss Army Knife of SAS® Procedures

Michael Raithel, Westat

Source category: Conference presentation

SAS Global Forum · 2016Paper 3780-2016SAS Global Forum 2016

PROC DS2 with Both Hands on the Wheel

Peter Eberhardt, Fernwood Consulting Group Inc.; Xue Yao, Winnipeg Regional Health Aurthority

Source category: Conference presentation

SAS Global Forum · 2016Paper 11663-2016SAS Global Forum 2016

PROC GLIMMIX as a Teaching and Planning Tool for Experiment Design

Walter Stroup, University of Nebraska, Lincoln

Source category: Conference presentation

SAS Global Forum · 2016Paper 11780-2016SAS Global Forum 2016

PROC IMSTAT Boosts Knowledge Discovery in Big-Database (KDBD) in a Pharmaceutical Company

Yoshitake Kitanishi, Shionogi & Co., Ltd.; Ryo Kiguchi, Shionogi & Co., Ltd.; Akio Tsuji, Shionogi & Co., Ltd.; Hideaki Watanabe, Shionogi & Co., Ltd.

Source category: Conference presentation

SAS Global Forum · 2016Paper 7540-2016SAS Global Forum 2016

PROC SQL for SQL DieHards

Barbara Ross, NA; Jessica Bennett, Snap Finance

Source category: Conference presentation

SAS Global Forum · 2016Paper 7560-2016SAS Global Forum 2016

Processing CDC and SCD Type 2 for Sources without CDC: A Hybrid Approach

Vishant Bhat, University of Newcastle; Tony Blanch, SAS Consultant

Source category: Conference presentation

SAS Global Forum · 2016Paper 10481-2016SAS Global Forum 2016

Product Purchase Sequence Analyses by Using a Horizontal Data Sorting Technique

Justin Jia, Trans Union Canada; Shan Shan Lin, CIBC

Source category: Conference presentation

Paper Paper Presentation / Poster

SAS Global Forum · 2016Paper 12526-2016SAS Global Forum 2016

Proposing a Recommendation System for DonorsChoose.org

Heramb Joshi, Oklahoma State University; Goutam Chakraborty, Oklahoma State University; Sandeep Chittoor, Student; Vignesh Dhanabal, Oklahoma State University; Sharat Dwibhasi, Oklahoma State University

Source category: Conference presentation

SAS Global Forum · 2016Paper 10404-2016SAS Global Forum 2016

Put Your Data on the Map: Using the GEOCODE and GMAP Procedures to Create Bubble Maps in SAS®

Caroline Walker, Warren Rogers Associates

Source category: Conference presentation

SAS Global Forum · 2016Paper 5620-2016SAS Global Forum 2016

Quantitle Regression versus Ordinary Least Squares Regression

Ruth Croxford, Institute for Clinical Evaluative Sciences

Source category: Conference presentation

SAS Global Forum · 2016Paper SAS6444-2016SAS Global Forum 2016

Rapid Prototyping: Accelerating Development of Your Organization's Reports Using SAS® Visual Analytics

Elliot Inman, SAS; Michael Drutar, SAS

Source category: Conference presentation

SAS Global Forum · 2016Paper 10981-2016SAS Global Forum 2016

Rapid Web Services using SAS/IntrNet® Software, jQuery AJAX, and PROC JSON

Jeremy Palbicki, Mayo Clinic

Source category: Conference presentation

SAS Global Forum · 2016Paper 1660-2016SAS Global Forum 2016

Reading JSON in SAS® Using Groovy

John Kennedy, Mesa Digital

Source category: Conference presentation

SAS Global Forum · 2016Paper 8240-2016SAS Global Forum 2016

Real-Time Predictive Modeling of Key Quality Characteristics Using Regularized Regression: SAS® Procedures GLMSELECT and LASSO

Jon Lindenauer, Weyerhaeuser

Source category: Conference presentation

SAS Global Forum · 2016Paper 11660-2016SAS Global Forum 2016

Redesigning Control Using the GMATCH Algorithm to Isolate Impact of a Specific Marketing Intervention from Overlapping Solicitations

Mou Dutta, Genpact LLC; Arjun Natarajan, Genpact LLC

Source category: Conference presentation

SAS Global Forum · 2016Paper 8920-2016SAS Global Forum 2016

Reducing and Screening Redundant Variables in Logistic Regression Models Using SAS/STAT® Software and SAS® Enterprise Miner™

Xinghe Lu, Amerihealth Caritas

Source category: Conference presentation

SAS Global Forum · 2016Paper 11882-2016SAS Global Forum 2016

Reducing Credit Union Member Attrition with Predictive Analytics

Nate Derby, Stakana Analytics; Mark Keintz, Wharton Research Data Services

Source category: Conference presentation