From: jya@pipeline.com (John Young)
To: cypherpunks@toad.com
Message Hash: 1d6214286eacc236b86f4ef8a32523f406d6e426ba876edd95a7122e8cff6b73
Message ID: <199605280112.BAA26773@pipe2.t1.usa.pipeline.com>
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UTC Datetime: 1996-05-28 04:39:15 UTC
Raw Date: Tue, 28 May 1996 12:39:15 +0800
From: jya@pipeline.com (John Young)
Date: Tue, 28 May 1996 12:39:15 +0800
To: cypherpunks@toad.com
Subject: MIN_ers
Message-ID: <199605280112.BAA26773@pipe2.t1.usa.pipeline.com>
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New Sci 25 May 1996:
"Panning for data gold."
Nowadays nearly every organization from supermarkets to
the police can boast a vast mine of electronic data.
Separating the gold from the dross is the real
challenge. A growing band of computer scientists say
they can dig out nuggets of 24-carat knowledge from huge
mountains of database dross. They call themselves "data
miners", and they are wielding some pretty impressive
tools -- information theory, laws of probability,
neural networks, tree induction, genetic algoritms,
disjunctive normal form logic.
But the impact of their efforts is anything but esoteric.
By identifying potential new customers -- or ways of
hanging on to existing ones -- this information is worth
millions in extra revenue. And this is just the start,
according to Usama Fayyad of Microsoft Research and
co-editor of a new book on data mining.
MIN_ers
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