| PHUSE EU |
2018 |
Using SAS Advanced Analytic to Gain Insight into the Opioid Epidemic [presentation] |
Andy Bayliss |
source |
17 |
| SESUG |
2018 |
Interrelationship Digraphs and Sociograms Using SAS |
Melvin T. Alexander |
source |
18 |
| SGF |
2018 |
From Academy to Industry: An Experimental Student Journey [presentation] |
Francesco Costigliola |
source |
28 |
| PHUSE EU |
2017 |
SAS Visual Data Mining [presentation] |
Andy Bayliss |
source |
3 |
| SGF |
2017 |
Using Graph Analytics for Predictive Modeling in Life Insurance |
Robert G. Moore |
source |
6 |
| SGF |
2016 |
Minimizing Fraud Risk through Dynamic Entity Resolution and Network Analysis |
Danielle Davis, Stephen Boyd, Ray Ong |
source |
10 |
| PHUSE EU |
2015 |
SAS Software Demonstration - SAS In-Memory Visual Analytics [presentation] |
Andy Bayliss |
source |
24 |
| SGF |
2014 |
Making It Happen: A Novel Way to Combine, Construct, Customize, and Implement Your Big Data with a SAS Data Discovery, Analytics, and Fraud Framework in Medicare |
Vivek Sethunatesan |
source |
15 |
| SESUG |
2013 |
When Little Objective Data Are Available, Find Root Causes and Effects with Interrelationship Digraphs and JMP |
Melvin T. Alexander |
source |
13 |
| PHUSE EU |
2013 |
SAS Predictive and Visual Analytics: Software Demonstration [presentation] |
Andy Bayliss |
source |
9 |
| SGF |
2012 |
Community Detection to Identify Fraud Events in Telecommunications Networks |
Carlos Andre R. Pinheiro |
source |
8 |
| SGF |
2012 |
Twitter and Facebook Analysis: Its Not Just for Marketing Anymore |
Jodi Blomberg |
source |
9 |
| SGF |
2011 |
A Detailed Examination of Workload Assigned and Faculty Productivity: Social Networks Using SAS Enterprise Guide and SAS Text Miner |
Yehia H. Khalil |
source |
21 |
| SGF |
2011 |
Do Guest Reviews Really Matter? Linking Social Media and Operations Data |
Kelly A. McGuire |
source |
9 |
| SGF |
2011 |
Highlighting Unusual Behavior in Insurance Based on Social Network Analysis |
Carlos Andre R. Pinheiro |
source |
9 |
| SGF |
2011 |
How You Can Identify Influencers in SAS Social Media Analysis (And Why It Matters) |
Barry deVille, Don Hatcher, Gurpreet S. Bawa |
source |
8 |
| SGF |
2011 |
Why Government Can Take the Lead in Fighting Fraud, and Use the SAS Fraud Framework to Get There |
Carl Hammersburg |
source |
8 |
| NESUG |
2010 |
Visualizing Bi-partite Network Data using SAS Visualization Tools |
John Zheng |
|
10 |
| SGF |
2010 |
Creating a Customer Influence Factor to Decrease the Impact of Churn and to Enhance the Bundle Diffusion in Telecommunications Based on Social Network Analysis |
Carlos Andre R. Pinheiro, Markus Helfert |
source |
7 |
| SGF |
2010 |
Improving the Defense Lines: The Future of Fraud Detection in the Insurance Industry (with Fraud Risk Models, Text Mining, and Social Networks) |
Terisa Roberts |
source |
7 |
| NESUG |
2007 |
&Degrees. of Separation: Social Network Analysis Using The SAS System |
Shane L. Hornibrook |
|
8 |
| SESUG |
2007 |
Analyzing Large Social Networks with MP Connect, SAS/IntrNet, and %DS2CONST |
Shane L. Hornibrook |
source |
7 |
| SESUG |
2006 |
Analyzing Large Social Networks with MP Connect, SAS/IntrNet, and %DS2CONST |
Shane L. Hornibrook |
source |
7 |
| NESUG |
2006 |
&Degrees. of Separation: Social Network Analysis Using The SAS System |
Shane L. Hornibrook |
|
8 |