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I did some mining on the Web and came up with a presentation on
"Rough Sets". When some of you e-mailed me and asked what they were,
I had to admit I didn't know. So, look at:
http://www.trolldata.no/torvill/present/pkdd97/index.htm
Having gone thru this brief presentation, I still don't know what "rough
sets" are, but Mr. Torvill's thesis work says:
Abstract This thesis attempts to deal with the problem of time within the
framework of rough sets. The rough set theory has emphasized the reduction of i
nformation necessary to acquire desired knowledge.
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As I understand it, rough sets are used to reduce the dimensionality and
complexity of data sets. Examples include stock market data (time)
and maps (spatial patterns).
IMHO, there may be better-tested methods.
Cheers,
Rob Lake
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