Data Mining - Attribute (Importance|Selection) - Affinity Analysis

Thomas Bayes

Data Mining - Attribute (Importance|Selection) - Affinity Analysis

About

Attribute importance is a supervised function that identifies and ranks the attributes that are most important in predicting a target attribute.

Oracle Data Mining does not support the scoring operation for attribute importance.

An attribute importance model:

  • are built on a population of interest to obtain information about that population,
  • cannot be applied to separate data,
  • returns and ranks the attributes that are most important in predicting a target value.

Attribute Importance

Example

Finding factors associated with people who respond to an offer.

Given customer response to an affinity card program, find the most significant predictors.

Documentation / Reference




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