Converting Structures

Conversion tasks can convert a number of structures into datasets and vice versa.

There are many reasons you would want to convert structures. For example you may want to convert structures into datasets, to then perform in-depth analysis of the dataset in Data Manager, and then reconvert the dataset back to its original structure. Or another use could be to import heuristic rules in a dataset table, and then convert them into rulesets to be used in a process.

The following structures are supported in these conversion operations:

• datasets

• association rules

• auto regressive models

• clusters

• cluster labels

• discretization cutoffs

• frequent itemsets

• frequent sequences

• monitors

• pca eigenvectors

• results

• rules

Available tasks

• Converting Structures to Datasets

• Converting Datasets to Structures

• Converting Models to Datasets for compatibility only

• Converting Datasets to Models for compatibility only

• Converting Rulesets to Datasets for compatibility only

• Converting Datasets to Rulesets for compatibility only