Automated Data Preparation (ADP) handles the task for you, analyzing your data and identifying fixes, screening out fields that are problematic or not likely to be useful, deriving new attributes …

With this node, you can ready your data for data mining quickly and easily, without the need for prior knowledge of the statistical concepts involved. If you run the node with the default …

You can use the Auto Data Prep node in a fully automated fashion, allowing the node to choose and apply fixes, or you can preview the changes before they're made and accept or reject them.

Using ADP enables you to make your data ready for model building quickly and easily, without needing prior knowledge of the statistical concepts involved. Models will tend to build and …

IBM® SPSS® Data Preparation performs advanced techniques to streamline the data preparation stage, delivering faster, more accurate data analysis results. Choose from an automated data …

The Analysis tab contains both tabular and graphical output that summarizes the processing of your data and displays recommendations as to how the data may be modified or improved for …

The Automated Data Preparation (ADP) node handles the task for you, analyzing your data and identifying fixes, screening out fields that are problematic or not likely to be useful, deriving …

Using ADP enables you to make your data ready for model building quickly and easily, without needing prior knowledge of the statistical concepts involved. Models will tend to build and …

Automated Data Preparation (ADP) handles the task for you, analyzing your data and identifying fixes, screening out fields that are problematic or not likely to be useful, deriving new attributes …

Depending upon whether you are using the Interactive or Automatic Data Preparation dialogs, the settings for applying and saving transformations are slightly different.