information technology infrastructure. The business processes are
provided as a set of services. In support of data mining, an instance
of an enterprise information system can be a set of backend compo-
nent(s) that provide data mining functionality to the enterprise.
explode A transformation that translates a discrete (categorical or
ordinal) attribute into n attributes using the indicator or thermometer
approach, where n corresponds to the cardinality of the attribute
(number of distinct values). The indicator approach assigns the value
1 to the attribute that maps to the discrete value of the original
attribute. The thermometer approach assigns the value 1 to the
attribute that maps to the discrete value of the original attribute and
all attributes that precede that value in the ordered sequence.
export The operation that supports taking mining objects from
within the DME and representing them in a transportable format for
storage in an external system such as a file or database table cell, or
for exchange with other systems or applications. In JDM, export is
performed using an export task . See also import .
extension A feature that is not covered by any of the relevant JDM
specifications, or a nonstandard implementation of a feature that is
feature extraction An unsupervised mining technique that produces
new attributes as combinations of input attributes, producing a
reduced set of attributes containing more highly summarized informa-
tion about those attributes.
feature selection The process of selecting the features (attributes)
that are deemed important to producing a quality data mining
model. Feature selection is done based on the importance computed
using attribute importance algorithms. See also attribute importance .
irregular component In time series, the random or chaotic noisy
residuals of data after the time-dependent components have been
removed, namely, the trend, periodic, and seasonal components. It
results from short-term fluctuations in the series that are neither sys-
tematic nor predictable. In a highly irregular series, these fluctua-
tions can dominate movements, which will mask the trend and
generic interface An approach used in JDM 2.0 to enable vendors
to specify name-value pairs of settings for build settings, algorithm
settings, apply settings, and statistics settings. This provides a way
for vendors to extend the standard settings while using a standard