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What is KDD?
The term KDD was probably
first introduced in 1989 at a workshop in Detriot, Michigan.The
etymology of the term may be further determined by dissecting
its components. Knowledge refers
to "the condition of comprehending truth or fact through
reasoning" (Webster's dictionary), while discovery,
implies the self initiated search for and acquisition of
new knowledge. The last D stands for data mining. Data mining
is a set of methods (or algorithms) for digging up patterns
from data.
Hence KDD would broadly
refer to the "process of finding knowledge in data
[with] the 'high level' application of particular data mining
methods." This implies that data mining working independently
without some KDD framework is not able to produce useful
knowledge.
Read the report
about the original KDD workshop by Gregory Piatetsky-Shapiro:
Here's a
good definition of what data mining is
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