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DM: UCLA short course on "Data Mining Techniques and Applications"From: Dr. Jen Q. Louie Date: Thu, 4 Dec 1997 16:51:47 -0500 (EST) X-Sender: jqlouie@pop.cais.com Date: Fri, 07 Nov 1997 08:04:44 -0500 To: Dorothy Firsching <nautilus-info@nautilus-systems.com> From: "Goodin, Bill" <bgoodin@unex.ucla.edu> (by way of "Dr. Jen Q. Louie" <jqlouie@nautilus-systems.com>) Subject: DM: UCLA short course on "Data Mining Techniques and Applications" Cc: jqlouie@nautilus-sys.com On February 2-5, 1998, UCLA Extension will present the short course, "Data Mining Techniques and Applications" on the UCLA campus in Los Angeles. The instructors are Wei-Min Shen, PhD, USC Information Sciences Institute; Rakesh Agrawal, PhD, IBM Almaden Research Center; and Jiawei Han, PhD, Simon Fraser University. This course is intended for scientists, engineers, and information managers who need to learn and apply data mining techniques (tools for discovering valuable knowledge from very large data sets) to their scientific research, system design, business management, or any other related applications. The lecturers are among the world-leading experts in the field with extensive experience in basic research as well as in real industrial application. This course should enable participants to understand and have hands-on experience in: o Basic concepts of data mining o The overall process of data mining o Critical steps in the data mining process o Relationships between data mining and other scientific disciplines o Formalizing data mining problems o Data preprocessing o Data classification o Data clustering o Database structures and their operations o Time serial data analysis o Visualization o Prediction and forecasting The course fee is $1295, which includes extensive course materials. These materials are for participants only, and are not for sale. For additional information and a complete course description, please contact Marcus Hennessy at: (310) 825-1047 (310) 206-2815 fax mhenness@unex.ucla.edu http://www.unex.ucla.edu/shortcourses This course may also be presented on-site at company locations.
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