M2008 Data Mining Conference to Surface the Best in Predictive Analytics.
M2008 conference co-chairs are Timothy Rey of Dow Chemical and Jerry Oglesby of SAS. The conference features academic keynote speakers from University of Southampton, UK; McMaster University, Canada; Oklahoma State University; University of Alabama; University of Central Florida; Lancaster University Management School, UK; Anahuac University, Mexico City; North Carolina State University; Texas A&M University; Central Michigan University; Ghent University, Belgium; and University of Ottawa, Canada. Industry presenters will represent Wachovia, Ford, Chrysler LLC, Charles Schwab & Co., Eli Lilly and Company, Cisco Systems, and Bank of America. All are sharing the latest advances in data mining methodology.
Attendees select from six session tracks to explore new and emerging technologies, best practices in fraud detection and marketing, and business applications across industries, including financial services, retail and healthcare. Individual demos are available at booths in the exhibit hall. There will be workshops, predictive modeling certification testing and free on-site consulting events. In addition, the second annual Data Mining Shootout will feature several approaches to solving a complex predictive modeling case study. The shootout is presented by SAS, the Central Michigan University Research Corporation and Dow Chemical.
"M2008 is a premier educational and networking forum for data mining practitioners, including analysts, statisticians, programmers, consultants and anyone involved with data management within their organization," said Jerry Oglesby, Director of Higher Education Consulting and Global Certification at SAS. "At M2008, we explore the best ways for data selection, exploration and model building to uncover hidden patterns. In today's challenging economy, predictive analytics can make all the difference in profitability."
For more information on M2008, call the conference registrar at 800-333-7660 or simply register online.
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