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Are you aware of every sub-discipline in
the category of computer and information
sciences? Perhaps not.
CLICK HERE
You might discover something very
exciting that you didn't know existed! |
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 Data mining
is a relatively new term, so it follows there is still some
disagreement about a precise definition. At Free-Ed.Net, however, we
are more interested in getting things done than quibbling over
semantics; so for the time being, I am defining data mining as a process intended to reveal otherwise undisclosed information
from an analysis of large or multiple data sources.Here is a nice description of data mining (as
opposed to a formal definition):
As mentioned, our definition of data mining is:
the exploration and analysis of data in order to
discover patterns, correlations and other
regularities - as characterised by the search for
Predictability. This can be approached in two
principle ways: First, one may posit a particular
model to describe a pattern, then test it and
validate it on the data. This is the "top down"
approach. Alternatively, one may discover a pattern
without any a priori model in mind, by letting the
data speak for itself".
~From Stephens
and Sukumar,
An Introduction to Data Mining
Note: Newbie, self-directed data miners must be
very, very careful with this notion of "letting the data speak for
itself." One's credibility can be tarnished for very long time by
naively confusing causation with correlation. The
following is a "must read" for beginners:
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 Note:
Some of these tutorials might require a PDF reader. If you do not have an the Adobe
Acrobat Reader installed on your device, you can
download a free copy here. Many also require the Google Play app for
mobile devices.
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