Agenda
This is a summary outline of the agenda, subject to change without notice.View the detailed agenda (.pdf).
| Sunday September 30 | |
| 11am-5pm | Registration open Consider registering today to avoid long lines on Monday morning. |
| 1-5pm | Pre-conference Workshops (optional; additional fee) |
| 6-9pm | SAS Certification Testing: Predictive Modeling using SAS Enterprise Miner 5.2 Exam (optional; additional fee) |
| Monday October 1 | |
| 7:30am | Registration Continental breakfast available Exhibit Hall open |
| 8:30am | Welcome from Conference Chairpersons |
| 8:45am (with short break at 9:45) | Keynote Panel Discussion
Making Modeling Relevant - Integrating Modeling Insights with Strategy and Management Decision Making Moderator: Sharat Mathur, ACG Solutions Panelists: Murli Buluswar, Farmers Insurance; Ramin Eivaz, Kimberly-Clark; Stuart Aiken, Safeway, Inc. |
| 11am | Break Exhibit Hall open |
| 11:30am | Keynote Address
Data Analytics Based Business Decisions in the Software Industry Sambuddha Deb, Wipro |
| Lunch Exhibit Hall open |
|
| 1:45-2:45pm |
Education
Model Validity Checks For Regression And Logistic Regression Simon Sheather and Mike Speed, Texas A&M University Emerging Technologies Forecasting Box Office Success of Movies using Data Mining Techniques: Recent Results Ramesh Sharda, Oklahoma State University Financial Services Applying Diverse Analytics to Improve Automotive Collections Gene Grabowski, Ford Motor Credit Company Best Practices Successfully Implementing Predictive Analytics in Direct Marketing John Blackwell, The Nature Conservancy (TNC) Financial Services Applying Mathematical Optimization to Marketing and Risk Strategies in Consumer Financial Services Robin Way, SAS Text Mining Text Mining of Clinical Healthcare Records: The UAB/UA/SAS Partnership Timothy Day, Uzma Raja, Mike Hardin, University of Alabama; Jerry Oglesby, SAS |
| 3-4pm |
Education
Is Your Model Good Enough? Michael Conerly, Winston Choi, & J. Michael Hardin, University of Alabama Emerging Technologies An Overview of Reduced Error Logistic Regression Daniel M. Rice, Rice Analytics Financial Services Best Practices in Credit Risk Model Monitoring Dina Duhon, Canadian Imperial Bank of Commerce and Wayne Thompson, SAS Best Practices Predictive Modeling for Workers' Compensation: Right Claims, Right Resources James J. Paugh, III, Deloitte Consulting LLP Healthcare Data Preparation for Data Mining in Health Care Using SAS S. Greg Potts, Arkansas Foundation for Medical Care Text Mining Audio Analysis in Action Manya Mayes, SAS |
| 4-4:30pm | Break Exhibit Hall open |
| 4:30-5:30pm |
Education
TBD Emerging Technologies Generalized Additive Neural Network Modeling Andre de Waal, North West University Potchefstroom, South Africa Financial Services Using Home Price Index to Forecast Default Rates for Real Estate Loans Chifei Juang, HSBC Best Practices Building Analytical Capability in a Global Environment Sandeep Tyagi, Inductis, an EXL Company Healthcare/Segmentation Building Successful Analytics, Step by Step Drew Theoni, Blue Cross Blue Shield, Florida Analytics In Search of Stability in Neural Network Modeling Jeff Zeanah, Z Solutions, Inc. |
| 5:30pm | Conference Reception (located in Exhibit Hall) |
| Tuesday October 2 | |
| 7:30am | Registration Continental breakfast available Exhibit Hall open |
| 8:30am | Welcome to Day 2 of M2007: Conference Chairpersons |
| 8:45am | Keynote Address Fraud! David Hand, Imperial College London |
| 9:45am | Short break |
| 10am | Keynote Address Association Rules Revisited, Or How I Learned to Love Them Gordon Linoff, Data Miners, Inc. |
| 11am | Break Exhibit Hall open |
| 11:30am | Keynote Address Leveraging Superior Marketing Tools for Building a Forward-looking CRM Strategy V. Kumar (VK), ING Center for Financial Services, School of Business, University of Connecticut |
| 12:30-1:45pm | Lunch Exhibit Hall open |
| 1:45-2:45pm |
Education
Using Analytics to Manage Enrollment at Sinclair Community College Karl Konsdorf, Sinclair Community College Financial Services Analytics That Matter Daymond Ling, Canadian Imperial Bank of Commerce Best Practices Pattern Discovery - or - How to Find a Needle in a Haystack Richard Bolton, KnowledgeBase Marketing Segmentation Consumer Segmentation in the Automotive Industry Will Neafsey, Ford Motor Company Retail New Applications of Data Mining in the Retail Industry Subir Bandyopadhyay, Ranjan Kini, Indiana University Northwest Text Mining Analysis of Research Literature with Text Mining Dr. Dursun Delen, Oklahoma State University |
| 3-4pm |
Education
Presentations from Data Mining Shootout Winners Financial Services To Collect or Not To Collect: How AT&T Determines Which Delinquent Accounts are Worth Pursuing and Which are Not Andy Christian, AT&T Healthcare Consumer-centric Healthcare Informatics David Kil, Accenture Technology Labs Segmentation Cluster Analysis for Customer Segmentations Filip Deforce and Jörg Besier, Accenture Retail Analytics: The Next Competitive Advantage Hari S. Hariharan, Accenture Text Mining Textual Analysis of Stock Market Prediction Using Financial News Articles Dr. Robert P. Schumaker, Iona College |
| 4-4:30pm | Break Exhibit Hall open |
| 4:30-5:30pm |
Fraud Detection
Data Mining Approaches to Stopping Warranty Fraud Jay King, SAS Financial Services Data Mining - Find your Data Diamond and Improve your ROI Maria Herlihy, KnowledgeBase Marketing Retail Collaborative Filtering Recommendation in E-business Ting Millette, ETS Healthcare/Marketing Building a Direct Marketing Machine Brad Jordan, Blue Cross Blue Shield, Florida Retail Designing Effective and Efficient Retention and Acquisition Strategies for Retailers Amit Ghosh, Cleveland State University Text Mining Utilizing Text Mining Techniques to Identify Fall Related Injuries Dr. Monica Chiarini Tremblay, Florida International University |
| Wednesday October 3 | |
| Conference Training - Day 1 | |
| Thursday October 4 | |
| Conference Training - Day 2 | |
| Friday October 5 | |
| Conference Training - Day 3 | |