Everyone is welcome to attend. There is no fee for these seminars, but space is limited so pre-registration is essential.
Guest Speaker: |
Dr. I. Burhan Türksen Fuzzy Data Mining System Modeling |
Date: |
Thursday, December 12, 2002 |
Time: |
2:00 - 3:30 p.m. |
Place: |
SAS Executive Briefing Centre King Subway For those who drive, please don't park on any main streets (King, Yonge, Bay or Adelaide); |
Fuzzy Data Mining System Modeling
Dr. I. Burhan Türksen
Professor, University of Toronto
President, Information Intelligence Corporation
ABSTRACT
Fuzzy data mining and system modeling approach is suitable to most corporations such as Banks, ISPs, TELCOs, Pharmaceuticals, Process Industries, etc., that have databases, warehouses, marts, etc. Usually volumes of data are analyzed with various applications statistical tools provided by, say, SAS, SPSS, etc. However, these statistical tools are inherently based on classical two-valued set and logic theory. Novel approaches of fuzzy data mining and system modeling technology is based on fuzzy sets and logics. Most people are by now familiar with fuzzy control systems that have been applied successfully to electro-mechanical systems over last 20+ years in Japan and Europe.
In our experience, fuzzy data mining and system modeling approach have produced improvements over classical statistical approaches from 2% for credit worthiness in finance, to 14% - 65% for pharmacokinetics in pharmacology and to 70%-73% for tardiness and waste products in process industry.
This seminar will cover basic concepts and essential components of fuzzy data mining and system modeling with applications.
If you plan to attend this seminar, please RSVP to Tamara Arenovich by e-mail.
Please contact Tamara if you want more information about the SORA Financial Statistics/Marketing Seminars.
Tamara Arenovich
Department of Statistics
University of Toronto
Co-Chair, Committee for Financial Statistics & Marketing, SORA
(416) 978-4455
tamara.arenovich@utoronto.ca
|
Co-sponsorship for these seminars is provided by SAS, Scotiabank, RBC Financial Group and Trans Union of Canada.