Defining mining settings

Defining mining settings in the model-building process means to create the following data types and to perform operations on these data types:

• DM_RuleSettings
• DM_ClasSettings
• DM_ClusSettings
• DM_RegSettings
• DM_TsSettings

The data types store the settings for associations mining runs, classification mining runs, clustering mining runs, regression training runs, or sequence rules mining runs. These mining settings are sets of control parameters. There are the following types of settings:

Settings specific to mining functions

These are, for example, the maximum number of clusters for a Clustering training run

Settings specific to mining algorithms

These are, for example, the similarity threshold for a Distribution-based Clustering training run

The definitions and roles of the fields also belong to the settings specification. This means that the logical data specification is part of the settings definition.