IEEE-Computer Society Seminar

Frank Hoffmann (fhoffman@cs.berkeley.edu)
Wed, 12 May 1999 20:33:56 +0200 (MET DST)

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Berkeley Initiative in Soft Computing (BISC)
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Forwarded from : T. Y. Lin (tylin@cs.sjsu.edu)

IEEE-Computer Society Seminar
(co-sponsored by NATEA)

Place: Stanford University. Math Department 380C
Date: May 13, 7:00-8:30PM

Title: Data Mining on Stock Market Data
--Applying Rough Set Technology

Speaker T. Y. Lin
Department of Mathematics and Computer Science
San Jose State University
San Jose, CA 95192
tylin@cs.sjsu.edu; tylin@cs.berkeley.edu
http://www.mathcs.sjsu.edu/faculty/tylin.

Abstract
This presentation focuses on applications of rough set
technology to databases. This emerging new technology
concerns the classificatory analysis of imprecise, uncertain
or incomplete data. Rough set theory provides
efficient methods in mining relational databases.
As an illustration, the discovery of
predicative rules from stock market data
will bdiscussed

Bio
T. Y. Lin received his Ph. D. from Yale University and is
a professor of computer science at San Jose State University
and a BISC fellow at UC-Berkeley.
He is the founding president
of the International Rough Set Society,
and the leader of sig GrC.
He has been a faculty at various universities.
His current interests are in
data mining, data security,
rough set theory and granular computing (GrC).

-- 
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Frank Hoffmann                               UC Berkeley
Computer Science Division                    Department of EECS
Email: fhoffman@cs.berkeley.edu              phone: 1-510-642-8282
URL: http://http.cs.berkeley.edu/~fhoffman   fax:  1-510-642-5775
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