Data Mining - Professional SQL Server Analysis Services 2005 with MDX - page 740

them from the DSV. The properties of an attribute can be edited in the proper-
ties pane when the column is selected.
Figure 14-9
Figure 14-10 shows the Mining Models view. The mining models view shows
the mining models in the current mining structure. You can have one or more
mining models within each mining structure. The columns of the mining struc-
ture are by default inherited as columns of a mining model. Each column of a
mining structure can be used for a specific purpose in a mining model. A
column can be used as an input column or predictable-only column, input and
predictable column, or need not be used in the mining model at all. These
four usages of a mining structure column within a mining model are represen-
ted as Input, Predict only, Predict, and Ignore, respectively. These can be se-
lected from the drop-down list box corresponding to a column and a mining
model. You can add additional mining models within a mining structure by
right-clicking in the mining models view and selecting New Mining Model. The
mining structure wizard detects the content type of the mining model columns
based on a sample of the data.