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SAS Global Forum 2018 Papers ArchivePage 5

Browse indexed publications from SAS Global Forum in 2018. Material labels distinguish papers, presentations, posters and proceedings listings where the source provides them.

471 papers · Showing 161–200

SAS Global Forum · 2018Paper 1861-2018SAS Global Forum 2018

Finding and Generalizing a 'Best Before' Date

Marje Fecht, Prowerk Consulting

Source category: Conference presentation

SAS Global Forum · 2018Paper 2415-2018SAS Global Forum 2018

Finding the Best Tools for SAS® Programs Change Management within a Regulated Environment

Sy Truong and Pradheep Raman, Pharmacyclics

Source category: Conference presentation

SAS Global Forum · 2018Paper 1955-2018SAS Global Forum 2018

Finding the Treasure: Using Geospatial Data for Better Results with SAS® Visual Analytics

Tricia Aanderud, Zencos

Source category: Conference presentation

SAS Global Forum · 2018Paper 2070-2018SAS Global Forum 2018

Fine-Tuning Topical Content in Written Expressions in Cloud-Based Environments Using SAS®

Gurpreet Bawa, Accenture

Source category: Conference presentation

SAS Global Forum · 2018Paper 1883-2018SAS Global Forum 2018

Fitting Compartment Models Using PROC NLMIXED

Raghavendra Rao Kurada and Fang Chen, SAS

Source category: Conference presentation

SAS Global Forum · 2018Paper 1854-2018SAS Global Forum 2018

Five Approaches for High-Performance Data Loading to the SAS® Cloud Analytic Services Server

Rob Collum, SAS

Source category: Conference presentation

SAS Global Forum · 2018Paper 2897-2018SAS Global Forum 2018

Flight 3411 and Its Aftermath: A Burlesque Analysis via Tweets

Vinoth Kumar Raja, West Corporation; Padmashri Janarthanam, University of Nebraska Omaha

Source category: Conference presentation

SAS Global Forum · 2018Paper 2057-2018SAS Global Forum 2018

Fluid and Dynamic: Using measurement-based workload prediction to dynamically provision your Cloud

Nik Markovic, Boemska

Source category: Conference presentation

SAS Global Forum · 2018Paper 1829-2018SAS Global Forum 2018

Forecasting the Value of Fine Wines

Joseph Breeden, Prescient Models

Source category: Conference presentation

SAS Global Forum · 2018Paper 1668-2018SAS Global Forum 2018

Forecasting: Something Old, Something New

Dave Dickey, North Carolina State University

Source category: Conference presentation

SAS Global Forum · 2018Paper 1977-2018SAS Global Forum 2018

Fraudsters Love Digital : An Emerging Threat Missed on Many Insurers Digitization Roadmaps

David Hartley, SAS

Source category: Conference presentation

SAS Global Forum · 2018Paper 1938-2018SAS Global Forum 2018

Frequencies, Unequal Variance Weights, and Sampling Weights: Similarities and Differences in SAS

Robert Lucas, R M Lucas Consulting

Source category: Conference presentation

SAS Global Forum · 2018Paper 2322-2018SAS Global Forum 2018

From Academy to Industry: An Experimental Student Journey

Francesco Costigliola, University Lus√≥fona of Humanities and Technology

Source category: Conference presentation

SAS Global Forum · 2018Paper 2756-2018SAS Global Forum 2018

From Idea to Implementation: How a SAS® Communities Thread Changed How Sleep Number Direct Markets

Aaron Carlson, Sleep Number Corporation

Source category: Conference presentation

SAS Global Forum · 2018Paper 1900-2018SAS Global Forum 2018

From Unstructured Text to the Data Warehouse: Customer Support at the University of North Texas

Nick Evangelopoulos, University of North Texas

Source category: Conference presentation

SAS Global Forum · 2018Paper 2487-2018SAS Global Forum 2018

Fun with Address Matching: Use of the COMPGED Function and the SQL Procedure

Alexandra Varga, Suzanne Salas, and Elizabeth Shuster, Kaiser Permanente, Center for Health Research

Source category: Conference presentation

SAS Global Forum · 2018Paper 2886-2018SAS Global Forum 2018

Fuzzy Matching Programming Techniques Using SAS® Software

Stephen Sloan, Accenture; Kirk Paul Lafler, Software Intelligence Corporation

Source category: Conference presentation

SAS Global Forum · 2018Paper 1808-2018SAS Global Forum 2018

Get Better Weight of Evidence for Scorecards by Using a Genetic Algorithm

Keshan Xia, 3GOLDEN Beijing Technologies Co. Ltd.; Peter Eberhardt, Fernwood Consulting Group Inc.; Matthew Kastin NORC at the University of Chicago

Source category: Conference presentation

SAS Global Forum · 2018Paper 1673-2018SAS Global Forum 2018

Getting More Insight into Your Forecast Errors with the GLMSELECT and QUANTSELECT Procedures

Gerhard Svolba, SAS

Source category: Conference presentation

SAS Global Forum · 2018Paper 2909-2018SAS Global Forum 2018

Getting Started with Bayesian Analysis

Danny Modlin, SAS

Source category: Conference presentation

SAS Global Forum · 2018Paper 2910-2018SAS Global Forum 2018

Getting Started with Survival Analysis

Marc Huber, SAS

Source category: Conference presentation

SAS Global Forum · 2018Paper 2908-2018SAS Global Forum 2018

Getting Started with Time Series Models

Danny Modlin, SAS

Source category: Conference presentation

SAS Global Forum · 2018Paper 3603-2018SAS Global Forum 2018

Getting to Know the No-Show: Predictive Modeling of Missing a Medical Appointment

Joe Lorenz, Kayla Hawkins, and Robert Downer, Grand Valley State University

Source category: Conference presentation

SAS Global Forum · 2018Paper 2572-2018SAS Global Forum 2018

Harmonize Your SAS® Environments with Hot Fix Versions

Jitendra Pandey, Electrolux Home Products Inc.

Source category: Conference presentation

SAS Global Forum · 2018Paper 2225-2018SAS Global Forum 2018

Harvesting Unstructured Data to Reduce Anti-Money Laundering (AML) Compliance Risk

Austin Cook and Beth Herron, SAS

Source category: Conference presentation

SAS Global Forum · 2018Paper 1726-2018SAS Global Forum 2018

High-Availability Services in an Enterprise Environment with SAS® Grid Manager

Andrey Turlov, Allianz Technology SE

Source category: Conference presentation

SAS Global Forum · 2018Paper 2873-2018SAS Global Forum 2018

House Prices Segmentation

Mettila Kaimathuruth, Oklahoma State University

Source category: Conference presentation

SAS Global Forum · 2018Paper 2798-2018SAS Global Forum 2018

How a Code-Checking Algorithm Can Prevent Errors

Thomas Hirsch, Magellan Health

Source category: Conference presentation

SAS Global Forum · 2018Paper 2598-2018SAS Global Forum 2018

How Effective is Change of Bowling Pace in Cricket?

Deven Chakraborty, Imperial College London

Source category: Conference presentation

SAS Global Forum · 2018Paper 1862-2018SAS Global Forum 2018

How Good is That Forecast? The Nuances of Prediction Evaluation Across Time

Aric Labarr, Elder Research Inc.

Source category: Conference presentation

SAS Global Forum · 2018Paper 1912-2018SAS Global Forum 2018

How SAS® Helps to Price Auto Insurance in Brazil

Anna Mattos, Seguros Edgar Meireles, and Karla Lopes, SulAmerica

Source category: Conference presentation

SAS Global Forum · 2018Paper 1648-2018SAS Global Forum 2018

How Statistically Analyzing System Behaviors with SAS® Visual Analytics Revealed Unknown Data Issues

Jessica Fraley, University of North Carolina at Chapel Hill

Source category: Conference presentation

SAS Global Forum · 2018Paper 2095-2018SAS Global Forum 2018

How to Build a Recommendation Engine Using SAS® Viya®

Jared Dean, SAS

Source category: Conference presentation

SAS Global Forum · 2018Paper 1906-2018SAS Global Forum 2018

How to Load Relational Data into SAS® Cloud Analytic Services Using Java

Salman Maher, SAS

Source category: Conference presentation

SAS Global Forum · 2018Paper 2629-2018SAS Global Forum 2018

How to Prevent Turnover of the Best and Most-Experienced Employees with SAS® Enterprise Miner

Liyuan Liu and Lauren Staples, Kennesaw State University

Source category: Conference presentation

SAS Global Forum · 2018Paper 2004-2018SAS Global Forum 2018

How to Use Streaming Analytics to Create a Real-Time Digital Twin

Brad Klenz, SAS

Source category: Conference presentation

SAS Global Forum · 2018Paper 2729-2018SAS Global Forum 2018

Human Resources Analytics: Why Do the Best Employees Leave?

Ankita Khurana, Oklahoma State University

Source category: Conference presentation

SAS Global Forum · 2018Paper 2707-2018SAS Global Forum 2018

Identifying Behaviors and Irregularities in Public Procurement in the Brazilian Federal Government

Andre Castro, Rodrigo Marquez, Wesley Lira, and Daniel Rogerio, Ministry of Planning, Development and Management

Source category: Conference presentation

SAS Global Forum · 2018Paper 1654-2018SAS Global Forum 2018

Identifying Duplicate Variables in a SAS® Data Set

Bruce Gilsen, Federal Reserve Board

Source category: Conference presentation

SAS Global Forum · 2018Paper 2647-2018SAS Global Forum 2018

Identifying Semantically Equivalent Questions Using Singular Value Decomposition

Varsha Reddy Akkaloori, Oklahoma State University

Source category: Conference presentation