About Workflows

A workflow must contain one or more sources of data, such as a table or a model. For example, to build a Naive Bayes model, you must first identify the input with a Data Source node. Then you create a Classification Node to build and test the model.

Using a workflow, you can:

• Build, analyze, and test data mining process

• Identify and examine data sources

• Build and apply models

• Create predictive queries

This section contains of following topics:

• Workflow Sequence

• Workflow Terminology

• Workflow Thumbnail

• Components

• Properties