Data mining consists of a series of techniques for the discovery of patterns in large
databases. This article provides an introduction to common data mining techniques
with a view toward their use. The article begins by describing methods for discovering
and exploring associations in observations and variables. The discussion then turns
to methods for prediction. These techniques discover relationships between sets of
variables. The article concludes with a description of evaluative techniques that
are useful for assessing the results from data mining.
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© 2008 Elsevier Inc. Published by Elsevier Inc. All rights reserved.
