Glossary - Java Data Mining: Strategy, Standard, and Practice - page 471

the build data is divided into several parts, with each part in turn
being used to evaluate a model built using the remaining parts.
cycle In time series, cycle describes the cyclic behavior of the target
attribute, or signal. A cycle can be periodic, or regular, that is, having
the same number of values within the cycle period. Alternatively, a
cycle can be seasonal, or irregular, that is, having an irregular num-
ber of values within the cycle period. For example, monthly cycles
have an irregular number of days per month, whereas a day has a
constant number of hours. Time series can generate useful informa-
tion about the periodicity or seasonality of a time series sequence.
data mining The process of discovering hidden, previously
unknown and usable information from a large amount of data. This
information is represented in a compact form, referred to as a model .
data mining engine (DME) The component in the JDM architec-
ture that implements the algorithms to support data mining. The
data mining engine may also support the persistent MOR.
data mining server (DMS) The component in the JDM architecture
that implements the data mining engine and persistent MOR. This is
distinguished from the data mining engine since a server implies a
separate component as in a client-server architecture.
data preparation status An indication of whether a logical attribute
provided as input to a build operation has been prepared by the user,
or if the user expects the DME to perform automatic data preparation
on the input data. A user may specify a logical attribute as prepared or
unprepared .
DBMS Database Management System.
descriptive data mining Data mining that results in a transparent
model that can be inspected to understand the process or behavior of
a model. Effectively provides a characterization of a dataset in a con-
cise and summary manner determined by the mining function and
algorithm used. See also predictive data mining .
DME See data mining engine .
DMS See data mining server .
EIS See enterprise information system .
ensemble model A collection of primitive supervised data mining
models (e.g., as produced from the classification mining function)
that can be used together to improve model accuracy.
enterprise information system (EIS) Generically, the application
or enterprise system that supports a set of business processes and