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From: bharat@gaea.uucp (R. Bharat Rao)
Newsgroups: comp.ai,comp.lang.lisp,sci.math.symbolic
Subject: Request for Empirical Discovery Programs
Message-ID: <1990Jan1.190646.18598@ux1.cso.uiuc.edu>
Date: 1 Jan 90 19:06:46 GMT
Sender: news@ux1.cso.uiuc.edu (News)
Reply-To: bharat@gaea.UUCP (R. Bharat Rao)
Followup-To: comp.ai
Organization: U of I, Urbana-Champaign
Lines: 26

E-mail to : bharat@gaea.cs.uiuc.edu 

As part of my Ph.D. thesis I need to do empirical discovery, and
discover relationships between groups of variables. These variables
may be real-valued, nominal, discrete (different domains), or
combinations of these types, and varying amounts of background
knowledge (often none) will be provided. The data also will be (known
to be) noisy in certain domains.

I am looking for programs that can do empirical discovery - as many as
I can find - and I wish to apply them to domains the programs are
suited to.

If you have the source code, or pointers to the code + literature on
discovery programs that I could use, I would be very grateful if you
could e-mail me the details at the address above, or post a response
to comp.ai.

I will summarize and post the results.

Thanks,

-Bharat
R.Bharat Rao
E-Mail: bharat@gaea.cs.uiuc.edu
US Mail:AI Group, Beckman Institute, Univ. of Illinois, Urbana-Champaign.