[11595] in Public-Access_Computer_Systems_Forum
Beyond Beyond: Data Mining, Knowledge Discovery,
daemon@ATHENA.MIT.EDU (Gerry McKiernan)
Fri Aug 22 20:11:25 1997
Date: Fri, 22 Aug 1997 16:00:49 -0500
From: Gerry McKiernan <JL.GJM@ISUMVS.IASTATE.EDU>
To: PACS-L@LISTSERV.UH.EDU
Reply-To: Public-Access Computer Systems Forum <PACS-L@LISTSERV.UH.EDU>
----------------------------Original message----------------------------
Beyond Beyond:
Data Mining, Knowledge Discovery, and Visualization
of MetaDated Collections
Over the past several weeks I have posted several
queries requesting information relating to Data Mining
and Knowledge Discovery in Databases (KDD) and 'neo-
conventional' thesauri. While my focus has been on
conventional library cataloging formats (i.e. MARC)
and conventional subject access inventions (e.g thesauri),
my Quest certainly applies to other types of formats
and data, most notably MetaData.
Thus, [Thus?], I am interested in learning about
any and all efforts that have applied Data Mining and/or
conventional/neo-conventional Knowledge Discovery and/or
Information Visualization to collections that have been
wrapped in MetaData (e.g. TEI, Dublin Core, SGML (?), etc.)
At this time I am _Not_ Interested in the projects of
the geo-spatial realm [This no doubt will become
an area that will need to be explored at another point]
As always, any and all leads, citations, comments,
criticisms, critiques or commentary will be most welcome.
Regards,
Gerry McKiernan
Curator, CyberStacks(Sm)
Iowa State University
Ames IA 50011
gerrymck@iastate.edu
http://www.public.iastate.edu/~CYBERSTACKS
"The Best Way to Predict the Future is to Invent It!"
Attributed to Peter Drucker
