Agenda *
| Sunday October 26 | |
| 11am-5pm | Registration open Consider registering today to avoid long lines on Monday morning. |
| 1-5pm | Pre-conference Workshops (optional; additional fee) |
| 1-4pm | SAS Certification Testing: Predictive Modeling using SAS Enterprise Miner 5.2 Exam (optional; additional fee) |
| Monday October 27 | |
| 7:30am | Registration Continental breakfast available Exhibit Hall open |
| 8:30am | Welcome from Conference Co-Chairs |
| 8:45am | Keynote Address
Niall M. Fraser, Open Options Corporation, Getting a Seat at the Boardroom Table |
| 9:45am | Short break Exhibit Hall open |
| 10am | Keynote Address
Bart Baesens, Katholieke Universiteit Leuven & University of Southampton, Frontiers in Data Mining: Emerging Trends, Challenges and Applications |
| 11am | Break Exhibit Hall open |
| 11:30am | Keynote Address
John MacGregor, McMaster University, Mining Industrial Data using Latent Variable Methods |
| Lunch Exhibit Hall open |
|
| 1:45-2:45pm | Breakout Sessions
Dr. Goutam Chakraborty, Oklahoma State University; Dr. J. Michael Hardin, University of Alabama; Dr. Morgan C. Wang, University of Central Florida; Panel discussion: Teaching Data Mining to Graduate Students and Professionals via Online and Offline Delivery Methods: Opportunities and Challenges Arthur Kordon, The Dow Chemical Company, Building Symbolic Regression Models: An Industrial Experience Gene Grabowski, Ford Motor Credit Company, Applying Seasonality to Evaluate Trends in Automotive Financing Richard Hale & Harry Seifert, IBM Corporation, Empowering the Enterprise with Data Mining Based Solutions Larry Lai & Eric Kuo, Align Technology, Inc, Data Mining to Help Determine Which Orthodontic Patients are Appropriate to Treat and Which are Better to Refer to Specialists Herna L. Viktor, University of Ottawa, The IDeAL System: A Utility-based Methodology for Mining Massive Databases |
| 2:45pm | Break |
| 3-4pm | Breakout Sessions
Phil Tuchinsky, Tuchinsky BI, LLC and Senior Research Fellow, Central Michigan University Research Corporation, Mathematical Professional Science Masters Degree Programs Are Excellent Sources for BI Staff Recruiting Elsa Jordaan, The Dow Chemical Company, Support Vector Machines: The New Kid on the Block Wensui Liu, Chase Credit Card Service and Jimmy Cela, ChoicePoint Precision Marketing, Behavior-Based Predictive Models - A New Framework of Predictive Models Randy Sherrod, Cisco, Marketing Impact Optimization Using PROC OPTMODEL Matthew D. Rotelli, Eli Lilly and Company, Data Mining Challenges in Health Information Viterbo H. Berberena González, Anáhuac University and Jaime Paredes Sánchez, Santander Bank in Mexico, Modeling & Optimization of Marketing Campaigns |
| 4-4:45pm | Break Exhibit Hall open |
| 4:45-5:45pm | Breakout Sessions
Joe Laskos, Genworth Financial and Shihong Li, ChoicePoint Precision Marketing, Using PSI to Monitor Predictive Model Stability in the Database Marketing Industry Allen Thompson & Richard Wherry, Bank of America, Developing Customer Insights Sascha Schubert, SAS, Tailoring the Use of SAS Enterprise Miner Kim Larsen, Charles Schwab & Co., Net Lift Prediction Models: How to Maximize Marketing Impact and What Data Miners Can Learn from Presidential Campaigns Richard Miller, GE, Managing 3rd Party Claims Processing - Successfully Utilizing Analytics to Optimize Suspect Claims Detection to Reduce Warranty Costs and Improve Customer Service |
| 5:45-7:15pm | Conference Reception (located in Exhibit Hall) |
| Tuesday October 28 | |
| 7:30am | Registration Continental breakfast available Exhibit Hall open |
| 8:30am | Welcome to Day 2 of M2008: Conference Chairpersons |
| 8:45am | Keynote Address
Daniel Thorpe, Wachovia, Reinventing Customer Relationships: Using Analytics to Capitalize on Insight, Intimacy, and Loyalty to Drive Growth |
| 9:45am | Short break |
| 10am | Keynote Address
Michael J. North, Argonne National Laboratory, Managing Business Complexity with Agent-Based Modeling and Simulation |
| 11am | Break Exhibit Hall open |
| 11:30am | Keynote Address |
| 12:30-1:45pm | Lunch Exhibit Hall open |
| 1:45-2:45pm | Breakout Sessions
Simon Sheather & Mike Speed, Texas A&M University, The Importance of Valid Models in Data Mining Michael J. Leonard & Jennifer Lee, SAS, An Introduction to Similarity Analysis Using SAS Sven F. Crone, Lancaster University Management School, A Bag of Tricks for Your Balancing Act: How to Increase Predictive Accuracy on Imbalanced Datasets Mary Beth Seasholtz, Randy J. Pell, Pat Wiegand, Enric Comas, Leo Chiang, The Dow Chemical Company, Solving Industrial Problems in the Chemical Industry Using Chemometrics Will Neafsey, Ford Motor Company, A Portfolio Approach to Segmentation in the Automotive Industry Dirk Van den Poel, Ghent University, Alternative Paths Towards Improved Predictive Analytics for Customer Intelligence |
| 3-4pm | Breakout Sessions
Michele Boulanger, JISC Consulting, Performance Analytics on the Maturity Curve Doug Wielenga, SAS, Practical Applications of Decision Theory in Modeling Rare Events Thomas L. Kondrat, Chrysler LLC, Data Mining at Chrysler Jin-Whan Jung, Jay King, and Sanjay Arangala, SAS, Two Case Studies in Fraud Detection Yves Schabes, Teragram Corporation A SAS Company Marc Schneiderman, Mobile Agent Technologies, Automating Human Decisions |
| 4-4:45pm | Break Exhibit Hall open |
| 4:45-5:45pm | Breakout Sessions
Carl Meyer and Anjela Govan, North Carolina State University, Beating the Spread: Predicting Game Outcomes with a New Ranking Model Hendrik Wagner, Independent Consultant, Predicting Loss Given Default in Retail Portfolios Using SAS Enterprise Miner Matthew Flynn, ISO and Jun Yan, Deloitte Consulting, Offset Techniques in Predictive Modeling for Insurance Michael Cavaretta, Ford Motor Company, Sales Forecasting Using Google Searches Zach Buckner, Elder Research, Inc., A Field Guide to Text Mining: An Overview of the People, Tools, and Research Frontiers that are Unlocking the Predictive Power of Text Second Annual Data Mining Shootout Winners, Data Mining Shootout Presentations |
| Wednesday October 29 | |
| Conference Training - Day 1 | |
| Thursday October 30 | |
| Conference Training - Day 2 | |
| Friday October 31 | |
| Conference Training - Day 3 | |
* subject to change