| MWSUG |
2025 |
Feature Selection and Classification Using Fuzzy Logic |
Ross Bettinger |
source |
39 |
| MWSUG |
2024 |
Adventures in Independent Consulting: Perspectives from Two Veteran Consultants Living the Dream |
Joshua M. Horstman, Richann J. Watson |
source |
7 |
| SESUG |
2024 |
Adventures in Independent Consulting: Perspectives from Two Veteran Consultants Living the Dream |
Joshua M. Horstman, Richann J. Watson |
source |
7 |
| PharmaSUG |
2024 |
Adventures in Independent Consulting: Perspectives from Two Veteran Consultants Living the Dream |
Joshua M. Horstman |
source |
7 |
| WUSS |
2023 |
Adventures in Independent Consulting: Perspectives from Two Veteran Consultants Living the Dream |
Joshua M. Horstman, Richann J. Watson |
source |
7 |
| PharmaSUG |
2023 |
Adventures in Independent Consulting: Perspectives from Two Veteran Consultants Living the Dream |
Joshua M. Horstman, Richann J. Watson |
source |
7 |
| PharmaSUG |
2023 |
Better Business Through Better Records |
Alexa Lam |
source |
18 |
| SESUG |
2022 |
Adventures in Independent Consulting: Perspectives from Two Veteran Consultants Living the Dream |
Joshua M. Horstman, Richann J. Watson |
source |
7 |
| SESUG |
2022 |
Don't be so One-Dimensional: How to Engineer Multi-Dimensional, High Cardinality Categorical Inputs for Machine Learning |
Aleksandar Nikolic |
source |
25 |
| WUSS |
2022 |
Adventures in Independent Consulting: Perspectives from Two Veteran Consultants Living the Dream |
Joshua M. Horstman, Richann J. Watson |
source |
7 |
| PharmaSUG |
2022 |
How to Prepare for a Tax Audit |
Evelyn Dyson Lee, Margaret Hung |
source |
6 |
| SGF |
2021 |
Business Ethics at the Core of Successful and Sustainable Analytics |
Mike McGuirk |
source |
2 |
| SESUG |
2020 |
Data Security in SAS using Encryption and Hashing |
Rajasekar Sundaram |
source |
6 |
| SGF |
2020 |
An Astounding Lack of Data |
Christopher Hooks |
source |
11 |
| SGF |
2020 |
Automation in SAS Visual Data Mining and Machine Learning |
Wendy Czika |
source |
26 |
| SGF |
2020 |
How to Master a Risk Data Vault Using SAS Data Integration Studio |
Linus Hjorth |
source |
11 |
| SGF |
2020 |
Sailing Your Data Lake with Self-Service Data Prep |
Peter Baquero |
source |
20 |
| SGF |
2020 |
The Face Behind That Fraud: Humanizing Data |
Eva Velasquez, Charity Lacey, John Watkins, Jared Peterson |
source |
5 |
| SESUG |
2019 |
Hybrid Rare Event Sampling Technique |
Ross Bettinger |
source |
15 |
| PharmaSUG |
2019 |
Tax Audit - Red Flags to Avoid, and What to Do with the IRS Notice |
Robert Simpson |
source |
10 |
| SGF |
2019 |
Data-Driven Agent Allocation in a Process using Machine Learning and Optimization in SAS |
Lokendra Kumar Devangan |
source |
9 |
| SGF |
2018 |
Mitigating the Effects of Class Imbalance Using SMOTE and Tomek Link Undersampling in SAS |
Kyle Biron |
source |
20 |
| SGF |
2018 |
Prediction and Interpretation for Machine Learning Regression Methods |
David Richard Cutler |
source |
16 |
| MWSUG |
2017 |
Cleaning Messy Data: SAS Techniques to Homogenize Tax Payment Data |
Aaron Barker |
|
8 |
| WUSS |
2017 |
Next Best Offer Analytics using SAS |
Robin E. Way, William Eisenhauer |
source |
12 |
| SGF |
2017 |
How Members Really Feel About Your Credit Card |
Anirban Chakraborty, Surya Bhaskar Ayyalasomayajula |
source |
25 |
| SGF |
2017 |
Predictive Accuracy: A Misleading Performance Measure for Highly Imbalanced Data |
Josephine Akosa |
source |
12 |
| SGF |
2017 |
Revenue Score: Forecasting Credit Card Products with Zero Inflated Beta Regression and Gradient Boosting |
Marc Witarsa, Paulo Di Cellio Dias |
source |
20 |
| SGF |
2017 |
So You Think You Can Combine Data Sets? |
Christopher J. Bost |
source |
23 |
| SGF |
2017 |
Timing is Everything: Detecting Important Behavior Triggers |
Daymond Ling |
source |
12 |
| SESUG |
2016 |
Making Sense of PROC TABULATE |
Jonas V. Bilenas |
source |
14 |
| SESUG |
2016 |
Simplifying the Use of Multidimensional Array in SAS |
Alec Zhixiao Lin, Loan Depot, Foothill Ranch |
source |
5 |
| SESUG |
2016 |
Using SAS/QC to Design Optimal Experimental Designs in Consumer Lending |
Jonas V. Bilenas |
source |
12 |
| SGF |
2016 |
Credit Card Interest and Transactional Income Prediction with an Account-Level Transition Panel Data Model Using SAS/STAT and SAS/ETS Software |
Denys Osipenko |
source |
20 |
| SGF |
2016 |
Evaluation of a Customer's Life Cycle Time-to-Offer Cross-sales in a Bank, Based on the Behavior Score Using Logit Models & DTMC in SAS |
Oscar Javier Cortés Arrigui, Miguel Angel Diaz Rodriguez |
source |
13 |
| SGF |
2016 |
Product Purchase Sequence Analyses by Using a Horizontal Data Sorting Technique |
Justin Jia, Shan Shan Lin |
source presentation |
11 |
| SGF |
2016 |
Shuffle Up and Deal! Sampling without Replacement Using SAS |
Daniel R. Bretheim |
source presentation |
9 |
| SGF |
2016 |
Taming the Rule |
Charlotte Crain, Chris Upton |
source |
13 |
| SGF |
2015 |
An Application of the DEA Optimization Methodology to Make More Effective and Efficient Collection Calls |
Jenny Lancheros, Ana Nieto |
source |
5 |
| SGF |
2015 |
An Introductory Overview of the Features of Complex Survey Data |
Taylor Lewis |
source |
22 |
| SGF |
2015 |
Credit Card Holders' Behavior Modeling: Transition Probability Prediction with Multinomial and Conditional Logistic Regression in SAS/STAT |
Denys Osipenko, Jonathan Crook |
source |
13 |
| SGF |
2015 |
SAS and SAP Business Warehouse on SAP HANA--What's in the Handshake? |
Tatyana Petrova |
source |
17 |
| SGF |
2015 |
The Comparative Analysis of Predictive Models for Credit Limit Utilization Rate with SAS/STAT |
Denys Osipenko, Jonathan Crook |
source |
19 |
| SGF |
2015 |
Understanding Characteristics of Insider Threats by Using Feature Extraction |
Ila Gokarn, Clifton Phua |
source |
14 |
| MWSUG |
2014 |
A SAS Macro Using Parallel Genetic Algorithm to Automate Variable Selection |
Jinqiao Li, Yi Cao, Yanping Shen |
|
19 |
| MWSUG |
2014 |
Analyzing Collection Effectiveness using Incremental Response Modeling |
Ryan Burton |
|
7 |
| SGF |
2014 |
Building Gamer Segmentation in the Credit Card Industry Using SAS Enterprise Guide |
Yang Ge |
source |
10 |
| SGF |
2014 |
Researching Individual Credit Rating Models |
Colin Nugteren |
source |
12 |
| NESUG |
2013 |
Making Sense of PROC TABULATE |
Jonas V. Bilenas |
|
15 |
| SGF |
2013 |
The Magnificent DO |
Paul M. Dorfman |
source |
15 |
| MWSUG |
2012 |
Applying Analytics to High Performance Customer Profitability Models in Financial Services |
Tony Adkins, Gary Cokins |
|
9 |
| WUSS |
2012 |
Building, refining & scoring financial transaction sequence analytics |
Robin E. Way |
source |
12 |
| SGF |
2012 |
Applying Analytics to High Performance Customer Profitability Models in Financial Services |
Tony Adkins, Gary Cokins |
source |
9 |
| MWSUG |
2011 |
SAS Analytic Solutions Win in Response to the "CARD Act of 2009" |
Rex Pruitt |
|
9 |
| NESUG |
2011 |
Cash-Flow Modeling for Fixed Income Securities? A New Approach Using SAS Risk Management for Banking Solution |
Sunny Zhang |
|
14 |
| NESUG |
2011 |
Net Present Value Settlement Algorithm in Collections Strategies |
Zbigniew Naumowicz, Daniel Costelloe |
|
10 |
| SGF |
2011 |
Cash Flow Modeling for Fixed-Income Securities: A New Approach Using the SAS Risk Management for Banking Solution |
Sunny Zhang, Jeff Hasmann, Thomas Kimner |
source |
14 |
| SGF |
2011 |
Detecting and Preventing Fraud in Financial Institutions |
Ellen Joyner |
source |
16 |
| SGF |
2011 |
Finding Your Way through the Wilderness: Moving Data from Text Files to SAS Data Files |
Charles E. Mullin |
source |
15 |
| 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 |
2011 |
SAS Analytic Solutions Win in Response to the Credit CARD Act of 2009 |
Rex Pruitt |
source |
9 |
| SGF |
2011 |
Taking Your Analytics Up a Notch by Integrating Clickstream Data |
Bill Franks |
source |
10 |
| SGF |
2010 |
An Analytical Approach to Determining Customer Value in the Property and Casualty Insurance Industry |
Roosevelt Mosley |
source |
20 |
| SGF |
2010 |
SAS Banking Intelligence Solutions Best Practices at CMBC Credit Card Center |
Yao C. Chengzhong |
source |
6 |
| SGF |
2010 |
SAS Scalable Performance Data Server: Star Schema Support |
Daniel M. Sargent |
source |
12 |
| SGF |
2010 |
Smart and Synchronized: Analytic-Driven Web Personalization Using SAS Customer Intelligence Solutions |
Olaf Kratzsch, Toshi Tsuboi |
source |
9 |
| MWSUG |
2009 |
A Class of Predictive Models for Multi-Level Risks |
Wensui Liu, Chuck Vu, Sandeep Kharidhi |
|
13 |
| SGF |
2009 |
A Class of Predictive Models for Multi-Level Risks |
Wensui Liu, Chuck Vu, Sandeep Kharidhi |
source |
13 |
| SGF |
2008 |
Price and Revenue Optimization for Banking |
Keith Renison, Lorry Hardt Jr. |
source |
7 |
| SGF |
2008 |
SAS for Real-Time Applications |
Paul Kent, Bryan Wolfe, Daniel Jahn, James Carroll, Dan Dotson |
source |
17 |
| NESUG |
2007 |
Making Sense of PROC TABULATE |
Jonas V. Bilenas |
|
17 |
| SGF |
2007 |
A Peek at PROC DOCUMENT |
Andrew H. Karp |
source |
5 |
| SGF |
2007 |
Making Sense of PROC TABULATE (updated for SAS9) |
Jonas V. Bilenas |
source |
16 |
| SGF |
2007 |
Using SAS to Process Repeated Measures Data - A Hands-On Approach |
Terry Gareleck, Cyndie B. Fain |
source |
12 |
| PNWSUG |
2006 |
Making Sense of PROC TABULATE |
Jonas V. Bilenas |
|
15 |
| WUSS |
2006 |
Getting in to the Picture (Format) |
Andrew H. Karp |
source |
16 |
| WUSS |
2006 |
Optimizing Your SAS Performance with Grid Computing |
Sy J. Truong |
source |
10 |
| WUSS |
2006 |
Steps to Success with PROC MEANS |
Andrew H. Karp |
source |
12 |
| NESUG |
2006 |
Segmentation For Insurance Payments |
Michael Sherlock |
|
10 |
| NESUG |
2006 |
Variable Selection in the Credit Card Industry |
Alec Cheng, Moez Hababo, Ray Falk |
|
5 |
| SUGI |
2006 |
Application of Experimental Design in Consumer Direct-Mail Solicitations |
Jonas V. Bilenas |
source |
9 |
| SUGI |
2006 |
Application of Proc Discrim and Proc Logistic in Credit Risk Modeling |
Jin Li |
source |
9 |
| SUGI |
2006 |
Efficient Construction of a "One-Row-per-Subject" Data Mart for Data Mining |
Gerhard Svolba |
source |
16 |
| SUGI |
2006 |
Getting in to the Picture (Format) |
Andrew H. Karp |
source |
16 |
| SUGI |
2006 |
SAS Web Analytics 5.2 - What's New? |
Jonathan E. Polito |
source |
19 |
| SUGI |
2006 |
SAS/OR - Making Sense of Network Data with Network Visualization Workshop |
Edward P. Hughes, Phil Meanor |
source |
20 |
| SUGI |
2006 |
The Value of Real-Time Scoring Technology Using SAS |
Young Chun Kim |
source |
6 |
| SUGI |
2006 |
Using SAS to Process Repeated Measures Data |
Terry Fain, Cyndie B. Gareleck |
source |
11 |
| SESUG |
2005 |
Using SAS to Process Repeated Measures Data |
Terry Fain |
source |
10 |
| WUSS |
2005 |
A Peek at PROC DOCUMENT |
Andrew H. Karp |
source |
5 |
| NESUG |
2005 |
Introduction to Experimental Design using SAS |
Jonas V. Bilenas |
|
13 |
| NESUG |
2005 |
Making Sense of PROC TABULATE |
Jonas V. Bilenas |
|
15 |
| NESUG |
2005 |
Right Time Right Place: An Application of Arrays |
Len Zangwill |
|
5 |
| SUGI |
2005 |
Making Sense of PROC TABULATE |
Jonas V. Bilenas |
source |
12 |
| SUGI |
2005 |
Using SAS to Process Repeated Measures Data |
Terry Fain, Cyndie B. Gareleck |
source |
10 |
| SCSUG |
2004 |
MIS Reporting in the Credit Card Industry |
Tom Hotard |
|
15 |
| WUSS |
2004 |
A Peek at PROC DOCUMENT |
Andrew H. Karp |
source |
5 |
| SUGI |
2004 |
Steps to Success with PROC MEANS |
Andrew H. Karp |
source |
13 |
| WUSS |
2003 |
A Peek at PROC DOCUMENT |
Andrew H. Karp |
source |
4 |
| SESUG |
2003 |
Demand for Analysis-Ready Data Sets. An Introduction to Banking and Credit Card Analytics |
Bikila bi Gwet |
source |
10 |
| NESUG |
2003 |
Maintaining and Assigning Rates Dependent on Two Quantitative Variables |
John R. Gerlach, MaryEllen Unruh |
|
5 |
| SEUGI |
2003 |
Controlling - tool of the financial management [presentation] |
Eva Micovska |
source |
38 |
| SEUGI |
2003 |
Living on Risk or how Risk makes Profitable Revenue and linking this with Industry Trends [presentation] |
Geert Massaq |
source |
24 |
| SEUGI |
2003 |
Marketing Automation 3.1 [presentation] |
Neil Hayward |
source |
62 |
| SEUGI |
2003 |
SAS Credit Scoring In-House Scorecard Development Project [presentation] |
Helena Junqueiro, Henrik Wagner |
source |
40 |
| SEUGI |
2003 |
The challenges focusing on ROI (Return on Information) [presentation] |
Dave Donkin |
source |
30 |
| VIEWS |
2003 |
Understanding Customer Behaviour through the Extraction, Analysis, Reporting and Modelling of Customer Data. |
Andy Twaits |
presentation |
3 |
| SUGI |
2003 |
Fancy MS Word Reports Made Easy: Harnessing the Power of Dynamic Data Exchange |
William W. Viergever, Koen Vyverman Fancy |
source |
10 |
| SUGI |
2003 |
Using Information Effectively to Make More Profitable Decisions: The Ten Letter Solution for Finance |
Frederick D. Busche, Tom Everly, Kirk Boothe |
source |
|
| SESUG |
2002 |
High Energy SAS - Managing the SAS Community in a Large Corporation |
James M. Alessio, Mark L. Jordan |
source |
5 |
| SESUG |
2002 |
The Magnificent DO |
Paul M. Dorfman |
source |
10 |
| SEUGI |
2002 |
Closing the loop on Fraud [presentation] |
Anton Hirschowitz |
source |
27 |
| SEUGI |
2002 |
CRM in the credit card area: the impact of business intelligence [presentation] |
Michael Flaschka |
source |
12 |
| SEUGI |
2002 |
Segmentation and Cross-Selling Project [presentation] |
Kirca |
source |
34 |
| SUGI |
2002 |
High Energy SAS - Managing the SAS Community in a Large Corporation |
Mark L. Jordan, James M. Alessio |
source |
5 |
| SEUGI |
2001 |
Data Mining at CDG Bank: an advantage or a requirement? [presentation] |
Elisabete Silva, Henrique Nicola |
source |
25 |
| SEUGI |
2001 |
Data Mining In a Zero Latency Enterprise [presentation] |
Philip Bosinoff |
source |
36 |
| SEUGI |
2001 |
How To Find Your Way Around A Customer Database [presentation] |
Alberto Saccardi, Fabio Marchetti |
source |
24 |
| SEUGI |
2001 |
Integration of campaign management and data mining at MTN South Africa [presentation] |
Marcelle Georgiev, Mohan Namboodiri |
source |
22 |
| SEUGI |
2001 |
linked objectives: CRM and e-CRM as part of the information network [presentation] |
Fabian Doring |
source |
30 |
| SEUGI |
2001 |
Sales Tools in BANCAJA For A Multi-Channel And Customized Distribution of Financial Services [presentation] |
Jose M. Narciso |
source |
16 |
| SEUGI |
2001 |
The Automated Scoring Application Project [presentation] |
Carl A. Touchie |
source |
22 |
| SEUGI |
2001 |
The SAS Solution for Enterprise Marketing Automation - Opening Session Demo [presentation] |
Nelle Schantz, T. Randall Betancourt |
source |
43 |
| SEUGI |
2001 |
Using SAS Enterpise Miner Analytical CRM in Finance [presentation] |
Sascha Schubert |
source |
33 |
| SUGI |
2001 |
SUG on a Shoestring: Supporting a SAS Users Group with Low-Cost Internet Tools |
Mary F. MacDougall |
source |
2 |
| WUSS |
2000 |
Data Warehousing for Data Mining: A Case Study |
C. Olivia Parr Rud |
source |
9 |
| SEUGI |
2000 |
Data Mining as a Decision Making Support System for the Banking Sector [presentation] |
Elisabete Silva, Henrique Nicola |
source |
29 |
| SEUGI |
2000 |
SAS has CRM all WAPped Up [presentation] |
Rodney Marwick |
source |
27 |
| SUGI |
2000 |
Data Warehousing for Data Mining: A Case Study |
C. Olivia Parr Rud |
source |
9 |
| SESUG |
1999 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
source |
8 |
| NESUG |
1999 |
Input Selection, Performance Evaluation, and Credit Risk Analysis |
Shirley Tsai, David Hamilton |
|
10 |
| MWSUG |
1999 |
Using Logistic Regression to Predict Customer Retention |
Andrew H. Karp |
|
5 |
| SEUGI |
1999 |
Concentrating on the Customer: Corepoint Technologies, IBM's new CRM company [presentation] |
James Cannon |
source |
41 |
| SEUGI |
1999 |
CRM Project: HP and SAS Institute explore new frontiers of scalability [presentation] |
Leigh A. Ihnen |
source |
77 |
| SUGI |
1999 |
Data Visualization from a Financial Services Perspective |
Alan J. Rinkus, Charles K. Skee |
source |
6 |
| SUGI |
1999 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
source |
7 |
| NESUG |
1998 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
|
8 |
| NESUG |
1998 |
Using Logistic Regression to Predict Customer Retention |
Andrew H. Karp |
|
5 |
| SESUG |
1998 |
Technology 2000 |
Replacing Orade |
|
8 |
| SEUGI |
1998 |
Money or nothing: Making the ATM pay |
Peter Oudshoorn, Peter Van Gils |
source |
12 |
| SUGI |
1998 |
Data Mining and Decision Support for Operational Problems Solutions in the Railroad Industry |
Pavel Brusilovskiy, Robert Hernandez |
source |
7 |
| SUGI |
1998 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
source |
7 |
| SUGI |
1998 |
Strategic Use of the SAS System in Banking |
Laurie Rose |
source |
5 |
| PNWSUG |
1997 |
Documenting SAS Software: Technologies Impact an Age-old Process |
Kathryn A. Council |
|
6 |
| SESUG |
1997 |
Statistical Presentations Using the Power of PROC TABULATE |
C. Olivia Parr Rud |
|
8 |
| SEUGI |
1997 |
Behavioural analysis of retail customers at Banca Commerciale Italiana |
Flavio Addolorato, Luca Bodio |
source |
10 |
| SEUGI |
1997 |
Data Mining with The SAS System |
Gerhard Held, John C. Brocklebank |
source |
42 |
| SEUGI |
1997 |
Neural networks for business benefit |
Michael Kerin |
source |
20 |
| SUGI |
1997 |
Managing Large Financial Data with the SAS System and the WEB |
Paul J. Ratnaraj |
source |
10 |
| SUGI |
1997 |
Using SAS Bitwise Functions to Scramble Data Fields with Key |
Sheng Luo, Xinsheng Lin |
source |
5 |
| SESUG |
1996 |
The Data Warehouse: Roles, Responsibilities, and Functions |
Christopher Toppe |
|
10 |
| SEUGI |
1996 |
Neural networks and/or classical statistics?! |
Jorg Imhoff, Michael Wetzel |
source |
19 |
| SUGI |
1991 |
SAS Software and the Complete P &L Approach to MIS Reporting |
Thomas W. Jack |
source |
3 |
| SUGI |
1988 |
Low Maintenance Programming Techniques |
Robert Virgile |
source |
10 |
| SUGI |
1988 |
The Use of PROC SICHAID in Marketing Research |
Jay Magidson, Patrick Rooney |
source |
5 |
| SUGI |
1986 |
Improving Binary Search Techniques |
Robert Virgile |
source |
6 |
| SUGI |
1986 |
Structured Management of the Prototyping, Design, and Development of a SAS Decision Support System |
John C. Stuart |
source |
5 |