Appendix 1
SAS Enterprise Miner Node
Reference
About Nodes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 47
Usage Rules for Nodes . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 55
About Nodes
Most SAS Enterprise Miner nodes are organized on tabs according to the SEMMA data
mining methodology. There are also tabs for Credit Scoring and Utility node groups. Use
the Credit Scoring nodes to score data models and to create freestanding code. Use the
Utility nodes to submit SAS programming statements and to define control points in the
process flow diagram.
Note: The Credit Scoring nodes do not appear in all installed versions of SAS Enterprise
Miner. For more information about the Credit Scoring nodes, see the SAS Enterprise
Miner Credit Scoring Help.
Table A1.1 Sample Nodes
Node Name Description
Append Use the Append node to append data sets that are exported by two different
paths in a single process flow diagram. The Append node can also append
train, validation, and test data sets into a new training data set.
Data Partition Use the Data Partition node to partition an input data set into a training,
test, and validation data set. The training data set is used for preliminary
model fitting. The validation data set is used to monitor and tune the free
model parameters during estimation. It is also used for model assessment.
The test data set is an additional holdout data set that you can use for
model assessment.
File Import Use the File Import node to convert selected external flat files,
spreadsheets, and database tables into a format that SAS Enterprise Miner
recognizes as a data source and can use in data mining process flow
diagrams.
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