Mining data specification
You must select and specify the data that you want to use for building or testing mining models. The specification of the input data includes the information that is required for the training run, for example, the name of the source table and information about the columns in this table.
- Creating values
of the data type
DM_MiningData, perform operations on them, or both. - Using the user-defined method
DM_defMiningData.
The data type DM_MiningData stores the
metadata to access
the physical data in source tables. These source tables can be either
base
tables or views. The metadata consists of the fully-qualified name
of the
source table, the column names, and the SQL data types of the source
data.
In addition, DM_MiningData stores
any other information necessary to make the physical data accessible
for a
subsequent training or test run. This other information might include
alias
names or, optionally, a WHERE clause to filter the
data.
The alias name maps a field name in the physical data to a field name
in a
logical data specification. An alias name and its corresponding field
name
in the logical data specification must be the same. The default arrangement
is that the alias names are the same as the names in the physical
data. Use
alias names that are different from the names in the physical data
only if
a logical data specification with different names already exists.