JSM 2004 Online Program

JSM Activity #CE_05C

This is the preliminary program for the 2004 Joint Statistical Meetings in Toronto, Canada. Currently included in this program is the "technical" program, schedule of invited, topic contributed, regular contributed and poster sessions; Continuing Education courses (August 7-10, 2004); and Committee and Business Meetings. This on-line program will be updated frequently to reflect the most current revisions.

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Legend: = Applied Session, = Theme Session, = Presenter FRY = Fairmont Royal York, ICH = InterContinental Hotel, TCC = Metro Toronto Convention Center		Add To My Program
CE_05C	Sat, 8/7/04, 8:15 AM - 4:15 PM	FRY-Alberta
Modern Data Mining (1 Day Course) - Continuing Education - Course
ASA
Instructor(s): David Banks, Duke University
This short course begins with an introductory overview of data mining: its scope, the classical approaches, and the heuristics that guided the initial development of theory and methods. Then the course moves towards the treatment of more modern issues such as boosting, overcompleteness, and large p/small n problems. This leads to a survey of currently popular techniques, including random forests, support vector machines, and wavelets. The main focus is upon regression inference, as this is a paradigm problem that informs all data mining applications, but we also discuss clustering, classification, and multidimensional scaling. The only prerequisites for the course are a basic knowledge of applied multivariate inference and a general level of statistical knowledge comparable to a weak master's degree. Any math will focus upon conveying general insight rather specific details.