| PharmaSUG |
2026 |
From Word Clouds to Phrase Clouds to Amaze Clouds: A Data-Driven Python Programming Solution To Building Configurable Taxonomies That Standardize, Categorize, and Visualize Phrase Frequency |
Troy Martin Hughes |
source |
12 |
| MWSUG |
2025 |
From Word Clouds to Phrase Clouds to Amaze Clouds: A Data-Driven Python Programming Solution To Building Configurable Taxonomies That Standardize |
Troy Martin Hughes |
source |
12 |
| WUSS |
2024 |
From Word Clouds to Phrase Clouds to Amaze Clouds: A Data-Driven Python Programming Solution To Building Configurable Taxonomies That Standardize, Categorize, and Visualize Phrase Frequency |
Troy Martin Hughes |
source |
12 |
| SGF |
2020 |
Python and the SAS Quality Knowledge Base for Better Data Quality and Entity Resolution |
Arnold Toporowski |
source |
12 |
| SGF |
2020 |
The Increasing Use of Artificial Intelligence in the Intelligence Community |
Gordon Robinson |
source |
9 |
| SGF |
2017 |
Shipping Container Roulette [presentation] |
Dan Tamburro |
source |
29 |
| SGF |
2017 |
You Imported What? Supporting International Trade with Advanced Analytics |
Susan Trueman |
source |
9 |
| SESUG |
2016 |
Using Proc FCMP To Improve Fuzzy Matching |
Christine L. Warner |
source |
11 |
| SGF |
2016 |
Evolving Fraud Types: Can Your Application Keep Up? |
Gordon Robinson |
source |
11 |
| SGF |
2016 |
How to Find Your Perfect Match Using SAS Data Management |
Mary Kathryn Queen |
source |
10 |
| SGF |
2016 |
Minimizing Fraud Risk through Dynamic Entity Resolution and Network Analysis |
Danielle Davis, Stephen Boyd, Ray Ong |
source |
10 |
| SGF |
2016 |
The Six Tenets of a Better Decision |
Daniel Jahn |
source |
9 |
| SGF |
2015 |
Entity Resolution and Master Data Life Cycle Management in the Era of Big Data |
John Talburt |
source |
16 |
| SGF |
2012 |
Evolving from Data Management to Master Data Management |
Wilbram Hazejager |
source |
8 |