[11800] in Public-Access_Computer_Systems_Forum
UCLA Short Course "Data Mining Techniques and Apps"
daemon@ATHENA.MIT.EDU (Goodin, Bill)
Fri Nov 7 20:12:36 1997
Date: Fri, 07 Nov 1997 18:19:52 -0600
From: "Goodin, Bill" <bgoodin@unex.ucla.edu>
To: PACS-L@LISTSERV.UH.EDU
Reply-To: Public-Access Computer Systems Forum <PACS-L@LISTSERV.UH.EDU>
----------------------------Original message----------------------------
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.
