Executive Overview of Data Mining and Business Intelligence
This one day course will provide mid and senior level managers with and overview of data mining and business intelligence. The course will examine the basic concepts and the process of predictive modeling and data mining. Technologies associated with data mining such as neural networks, association analysis, and decision trees will be reviewed and illustrated using real world data. New technologies such as text mining will be presented. Applications of data mining and business intelligence in business areas including banking, finance, credit scoring, CRM, marketing, manufacturing, and healthcare will be presented. The course will conclude with a demonstration of business intelligence software tools and a discussion of critical success factors for successful implementations of data mining projects.
Instructor : J. Michael Hardin, Ph.D. Dr. Hardin is Professor of Statistics in the Department of Information Systems, Statistics, and Management Science and serves as the Director of the Institute of Business Intelligence within the Culverhouse College of Commerce. He is also Director of the Statistical Analysis and Data Management Core for the UA Center for Mental Health and Aging. Previously, Dr. Hardin has served as director, or deputy director of several university research units, as well as having served as Co-PI or Co-Investigator on numerous federally funded research grants and contracts. He frequently serves as an ad hoc grant reviewer for NIH, and is currently Associate Editor for The American Statistician. Last year Dr. Hardin served as Co-Chair of the SAS Data Mining Technology Conference, M2004. This conference was the largest data mining conference in the world in 2004. Dr Hardin is an invited speaker at this year's SAS Data Mining Technology Conference, M2005. The talk will address new ideas in the analytical detection of money laundering schemes. Dr. Hardin has authored or co-authored over 85 papers in various journals including the Lancet, the Journal of the American Medical Association, the Journal of the American Medical Informatics Association, the American Journal of Epidemiology, the American Statistician, the Journal of Statistical Computation and Simulation, and Communications in Statistics. He is the author or co-author of over 150 abstracts presented at national meetings and has given over 85 invited lectures or talks. He is the author of several book chapters dealing with database design and decision support systems. Dr. Hardin often serves as a consultant to healthcare organizations in the areas of data mining, sampling, and program integrity. Additionally, he is an instructor and consultant for the SAS Institute in the areas of data mining and time series analysis. He is Adjunct Professor of Biostatistics, Adjunct Professor of Computer Science, and Adjunct Professor of Health Informatics at the University of Alabama at Birmingham. He has served as Scholar in Residence in the Center for Information Management, Department of Information Systems and Operations Management, Loyola University, Chicago, and Visiting Professor in the Department of Management and Information Sciences and Statistics at Trinity College, Dublin, Ireland.
Date : Friday, November 11, 2005
Time: 9:00 A.M. to 4:00 P.M.
Location: Room 430 Campbell Hall (Corner of University Blvd. and 13th Street South)
Course Number: CSCE 105
Recommended hotel: Pickwick Hotel and Suites, http://www.pickwickhotel.com There is a complementary shuttle from the airport to the hotel. Local phone number for the Pickwick is 205.933.9555.
Registration: Click the Web site below to register and pay by credit card.
Back to courses