SAS Global Forum Papers ArchivePage 33

Accelerate your SAS® Programs with Graphics Processing Units (GPUs)

Source category: Conference presentation

Accessibility and SAS® University Edition: Tips for Students and Professors

Ed Summers, SAS; Amy Peters, SAS

Source category: Conference presentation

Accessibility and SAS® Visual Analytics Viewers: Which Report Viewer Is Best for Your Users' Needs?

Jesse Sookne, SAS; Kristin Barker, SAS; Joe Sumpter, SAS; Lavanya Mandavilli, SAS

Source category: Conference presentation

Accessing DBMS with the GROOVY Procedure and a JDBC Connection

Lilyanne Zhang, SAS

Source category: Conference presentation

Adding a Workflow to Your Analytics with SAS® Visual Investigator

Gordon Robinson, SAS; Ryan Schmiedl, SAS

Source category: Conference presentation

Advanced Hierarchical Modeling with the MCMC Procedure

Fang Chen, SAS; Maura Stokes, SAS

Source category: Conference presentation

Advanced Location Analytics Using Demographic Data from Esri and SAS® Visual Analytics

Murali Nori, SAS; Himesh Patel, SAS

Source category: Conference presentation

Advanced Programming Techniques with PROC SQL

Kirk Paul Lafler, Software Intelligence Corporation

Source category: Conference presentation

Advanced, Dynamic, and Effective Dashboarding with SAS® Visual Analytics

Abhilasha Tiwari, Accenture

Source category: Conference presentation

Am I Getting the Most Value out of My SAS® Installation Dollars?

Al Cordoba, Qualex

Source category: Conference presentation

An Analysis of the Coding Movement: How Code.org and Educators Are Bringing Coding to Every Student

Lauren Cook, University of North Carolina at Charlotte; Talazia Moore, North Carolina State University

Source category: Conference presentation

An Analysis of the Repetitiveness of Lyrics in Predicting a Song's Popularity

Drew Doyle, University of Central Florida

Source category: Conference presentation

An Easy-to-Use SAS® Macro for a Descriptive Statistics Table

Yuanchao Zheng, Stanford University; Jin Long, Stanford University; Maria Montez-Rath, Stanford University

Source category: Conference presentation

An Efficient Way to Deploy and Run Text Analytics Models in Hadoop

Seung Lee, SAS; Xu Yang, SAS; Saratendu Sethi, SAS

Source category: Conference presentation

An Information Technology Perspective of SAS® at The University of Memphis

Robert Jackson, University of Memphis

Source category: Conference presentation

An Insider's Guide to Fine-Tuning Your CREATE TABLE Statements Using SAS® Options

Jeff Bailey, SAS

Source category: Conference presentation

An Introduction to SAS® Visual Analytics 8.1

Jeff Diamond, SAS

Source category: Conference presentation

An Introduction to the Improved SAS® Data Integration Studio Batch Deployment Utility on UNIX

Jeff Dyson, The Financial Risk Group

Source category: Conference presentation

An Investigation into Big Data Analytics Applied to Insurance

Rebecca Peters, University of South Wales; Penny Holborn, University of South Wales

Source category: Conference presentation

An Oasis of Serenity in a Sea of Chaos: Automating the Management of Your UNIX/Linux Multi-tiered SAS® Services

Clifford Meyers, SAS

Source category: Conference presentation

An Overview of SAS® Visual Data Mining and Machine Learning on SAS® Viya™

Jonathan Wexler, SAS; Susan Haller, SAS

Source category: Conference presentation

Analysis of the Disparity of the “Haves” and “Have-Nots” in the United States

Gaurang Margaj, Oklahoma State University; Tejaswi Jha, Oklahoma State University; Tejashree Pande, University of Nebraska Omaha

Source category: Conference presentation

Analytics Approach to Predict Total Recall in the Automobile Industry

Prathap Maniyur, Fractal Analytics; Mansi Bhat, Deloitte; prashanth Nayak, Worldlink

Source category: Conference presentation

Analytics of Healthcare Things (AoHT) IS THE Next Generation of Real World Data

Joy King, Teradata

Source category: Conference presentation

Analytics Using SAS® Customer Intelligence: Multivariate Testing Processes for Digital Marketing Campaigns

Thomas Lehman, SAS

Source category: Conference presentation

Analyzing Correlated Data in SAS®

Niloofar Ramezani, University of Northern Colorado

Source category: Conference presentation

Analyzing Residuals in a PROC SURVEYLOGISTIC Model

Bogdan Gadidov, Kennesaw State University

Source category: Conference presentation

Analyzing the Effect of Weather on Uber Ridership

Anusha Mamillapalli, Oklahoma State University; Singdha Gutha, Oklahoma State University

Source category: Conference presentation

Analyzing the Effectiveness of COPD Drugs Through Statistical Tests and Sentiment Analysis

Indra Kiran Chowdavarapu, Oklahoma State University; Dursun Delen, Oklahoma State University; Vivek Manikandan Damodaran, Oklahoma State University

Source category: Conference presentation

Analyzing the Predictive Power of Political and Social Factors in Determining Country Risk

Bhuvaneswari Yallabandi, Oklahoma State University; Vishwanath Srivatsa Kolar Bhaskara, Oklahoma State University

Source category: Conference presentation

Application of Survival Analysis for Predicting Customer Churn with Recency, Frequency, and Monetary

Bo Zhang, IBM; Liwei Wang, Pharmaceutical Product Development Inc

Source category: Conference presentation

Applying Text Analytics and Machine Learning to Assess Consumer Financial Complaints

Tom Sabo, SAS

Source category: Conference presentation

Association between Sunlight and Specific-Cause Mortality

Wei Xiong, University of Southern California

Source category: Conference presentation

Auditing in SAS® Visual Analytics

Elena Muriel, Amadeus Software Limited

Source category: Conference presentation

Auto Telematics: Deviations Drive Success

Kelsey Osterloo, State Farm Insurance Company; Deovrat Kakde, SAS

Source category: Conference presentation

Automate Validation of CDISC SDTM with SAS®

Sy Truong, Pharmacyclics

Source category: Conference presentation

Automated Hyperparameter Tuning for Effective Machine Learning

Patrick Koch, SAS; Brett Wujek, SAS; Oleg Golovidov, SAS; Steven Gardner, SAS

Source category: Conference presentation

Automatic Singular Spectrum Analysis and Forecasting

Michael Leonard, SAS; Bruce Elsheimer, SAS

Source category: Conference presentation

Automatically Create Diagrams Showing the Structure and Performance of Your SAS® Code

Philip Mason, Wood Street Consultants Ltd.

Source category: Conference presentation

Automatically Map CDASH Data to the Study Data Tabulation Model (SDTM) Structure

Hao Xu, McDougall Scientific; Hong Chen, McDougall Scientific

Source category: Conference presentation