| MWSUG |
2025 |
SAS Trustworthy AI Examples |
Caleb Petterson |
source |
4 |
| SESUG |
2022 |
A Two-Staged Local Regression Based Binning Method for Weight of Evidence Transformation in Credit Scoring Models |
Hui Wang, Shirong Huang, Emma Zhou, Erin Martin |
source |
30 |
| SGF |
2020 |
How to Master a Risk Data Vault Using SAS Data Integration Studio |
Linus Hjorth |
source |
11 |
| SGF |
2019 |
Months to Weeks: SAS Credit Scoring Express Implementation |
Abhijit S. Joshi |
source |
12 |
| SGF |
2018 |
A Cautionary Tale of Using Machine Learning within Credit Risk in the Utilities Industry |
Spiros Potamitis, Paul Malley |
source |
8 |
| SGF |
2018 |
SAS Credit Scoring for Banking: An Integrated Solution from Data Capture to Insight |
Ewa Nybakk |
source |
12 |
| SGF |
2018 |
Using SAS to Teach Credit Risk: From Undergraduate Studies to Professional Education [presentation] |
Cristian Bravo |
source |
25 |
| MWSUG |
2015 |
A Macro for Systematic Treatment of Special Values in Weight of Evidence Variable Transformation |
Chaoxian Cai |
|
9 |
| SESUG |
2015 |
Migrating Databases from Oracle to Teradata |
Phillip Julian |
source |
12 |
| SGF |
2015 |
Object Oriented Program Design in DS2 |
Shaun Kaufmann |
source |
16 |
| WUSS |
2014 |
SAS and Teradata: Innovators and Leaders for Big Data Analytics |
Tho H. Nguyen, John Cunningham |
source |
4 |
| SGF |
2014 |
Medical Scoring for Breast Cancer Recurrence |
Nurul Husna Jamian, Yap Bee Wah, Nor Aina Emran |
source |
13 |
| SESUG |
2013 |
Dealing with Missing Data for Credit Scoring |
Steve Fleming |
source |
7 |
| MWSUG |
2013 |
Information Value Statistic |
Bruce S. Lund, David Brotherton |
|
18 |
| SGF |
2013 |
Creating Interval Target Scorecards with Credit Scoring for SAS Enterprise Miner |
Miguel Maldonado, Naeem Siddiqi, Susan Haller, Wendy Czika |
source |
14 |
| SGF |
2013 |
Using the Boosting Technique to Improve the Predictive Power of a Credit Risk Model |
Alejandro Correa Bahnsen, Andres F. Gonzalez, Darwin A. Amezquita |
source |
7 |
| SGF |
2012 |
An Experimental Comparison of Classification Techniques for Imbalanced Credit Scoring Data Sets Using SAS Enterprise Miner |
Iain L. Brown |
source |
14 |
| SGF |
2012 |
Building WOE Binned LGD Scorecards using SAS Enterprise Miner |
Anthony J. van Berkel, Naeem Siddiqi |
source |
14 |
| SGF |
2011 |
Genetic Algorithm Optimization for Selecting the Best Architecture of a Multi-Layer Perceptron Neural Network: A Credit Scoring Case |
Alejandro Correa, Andres F. Gonzalez, Camilo Ladino |
source |
8 |
| SGF |
2011 |
Regression Model Development for Credit Card Exposure at Default (EAD) Using SAS/STAT and SAS Enterprise Miner 5.3 |
Iain L. Brown |
source |
11 |
| SGF |
2010 |
Closing the Gap between Credit Access and Risk Management |
Clark R. Abrahams |
source |
15 |
| SGF |
2010 |
Supercharged Analytics |
Rick Miller |
source |
33 |
| SGF |
2009 |
A Comprehensive Credit Assessment Framework: Overview and Implications for the Subprime Crisis |
Clark R. Abrahams, Sunny Zhang |
source |
14 |
| SGF |
2009 |
Generalizations of Generalized Additive Model (GAM): A Case of Credit Risk Modeling |
Wensui Liu, Jimmy Cela, Chuck Vu |
source |
14 |
| SGF |
2009 |
Reject Inference Techniques Implemented in Credit Scoring for SAS Enterprise Miner |
Billie Anderson, Susan Haller, Naeem Siddiqi |
source |
11 |
| SGF |
2008 |
SAS/OR: Rigorous Constrained Optimized Binning for Credit Scoring |
Ivan Oliveira, Susan Haller, Manoj Chari |
source |
10 |
| NESUG |
2007 |
Summarizing the Power of Your Predictive Model with Receiver Operating Characteristic Curves |
Mithat Gonen |
|
18 |
| SGF |
2007 |
Improving Credit Scoring by Generalized Additive Model |
Wensui Cela, Jimmy Liu |
source |
9 |
| NESUG |
2006 |
Receiver Operating Characteristic (ROC) Curves |
Mithat Gonen |
|
18 |
| SUGI |
2006 |
Receiver Operating Characteristic (ROC) Curves |
Mithat Gonen |
source |
18 |
| SEUGI |
2003 |
Basel II and Beyond [presentation] |
Eva Wittmann, Henrik Wagner, Rik van de Weerthof, Stefan de Lombaert |
source |
27 |
| SEUGI |
2003 |
Creating and exploiting global human capital measures within The Royal Bank of Scotland Group [presentation] |
Iain Middleton |
source |
23 |
| SEUGI |
2003 |
Leveraging Intelligence for Better Results in Telecom [presentation] |
Richard O'Brien |
source |
47 |
| SEUGI |
2003 |
Living on Risk or how Risk makes Profitable Revenue and linking this with Industry Trends [presentation] |
Geert Massaq |
source |
24 |
| SEUGI |
2003 |
Pre-canned analytics and SAS Industry Intelligence Solutions [presentation] |
David Hartley, Henrik Wagner |
source |
21 |
| SEUGI |
2003 |
The SAS Credit Risk Solution [presentation] |
Eva Wittmann, Henrik Wagner |
source |
52 |
| SEUGI |
2003 |
Uncovering the Hidden Fiance Crime - the SAS Anti-Money Laundering Solution [presentation] |
Sascha Schubert |
source |
39 |
| VIEWS |
2003 |
Development of a DSS System for a Major Bank |
Ferenc Kiss |
|
4 |
| SEUGI |
2002 |
Advanced Techniques in CRM [presentation] |
Donna Byrne |
source |
19 |
| SEUGI |
2002 |
Customer Intelligence: Experiences Using SAS [presentation] |
Donna Byrne |
source |
31 |
| SEUGI |
2002 |
Introduction to Customer Intelligence [presentation] |
Alan Gormley |
source |
26 |
| SEUGI |
2002 |
Predictin Customer Default Times using Survival Analysis Methods in SAS [presentation] |
Bart Baesens |
source |
16 |
| SEUGI |
2001 |
Knowledge Solution for Credit Scoring [presentation] |
Henrik Wagner |
source |
26 |
| SEUGI |
2000 |
Credit Scoring with Enterprise Miner [presentation] |
Henrik Wagner |
source |
29 |
| SEUGI |
2000 |
Portfolio analysis with SAS System and utilization of this information in the process of the Risk Provision creation [presentation] |
Julia Farkasova |
source |
21 |
| SEUGI |
2000 |
SAS has CRM all WAPped Up [presentation] |
Rodney Marwick |
source |
27 |
| SEUGI |
1997 |
Credit scoring at Vorwerk: the profit maximum is not the only goal |
Elisenda Grau i Navarro, Ralf Finger |
source |
27 |
| SEUGI |
1996 |
Selecting creditworthy customers |
Stella Cacoullis |
source |
8 |