From Wikipedia, the free encyclopedia
|
Data
mining
is the
process
of
sorting
through
large
amounts
of data
and
picking
out
relevant
information.
It is
usually
used by
business
intelligence
organizations,
and
financial
analysts,
but is
increasingly
being
used in
the
sciences
to
extract
information
from the
enormous
data
sets
generated
by
modern
experimental
and
observational
methods.
It has
been
described
as "the
nontrivial
extraction
of
implicit,
previously
unknown,
and
potentially
useful
information
from
data"[1]
and "the
science
of
extracting
useful
information
from
large
data
sets
or
databases."[2]
Data
mining
in
relation
to
enterprise
resource
planning
is the
statistical
and
logical
analysis
of large
sets of
transaction
data,
looking
for
patterns
that can
aid
decision
making.[3]
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