AR Rules

An association rule states that an item or group of items implies the presence of another item; each rule has a probability. Unlike decision tree rules, which predict a target, association rules simply express correlation.

If an attribute is a nested column then the full name displays as COLUMN_ NAME.SUBNAME. For example, GENDER.MALE. If the attribute is a normal column, then just the column name is displayed.

Oracle Data Mining supports association rules that have one or more items in the antecedent (IF part of a rule) and a single item in the consequent (THEN part of the rule). The antecedent may be referred to as the condition, and the consequent, as the association.

Rules have confidence, support and lift described in AR Rules Display.

The Rules tab is divided into two parts:

Note: The rules tab is divided into two parts by a horizontal line. Sorting or filtering that is defined using facilities above the horizontal line apply to all of the rules in the model. Sorting or filtering defined using facilities below the line apply to the grid display only.

Sort by specifies the order for display of the rules. You can sort rules by Lift, Confidence, Support, or Length. The rules can be sorted in Ascending or Descending order. For more sort options, click More. You can specify up to four levels of sorting, and you can specify order for each level. See Sorting.

You can also filter the rules. You can specify Minimum Lift, Minimum Support, Minimum Confidence, Maximum Items in Rules, and/or Minimum Items in Rules. You can also specify Item Filters. To see the filtering options, click More. For more information about filtering, see Filtering.

Association models often generate a large number of rules. Specify the number of rules to examine using the Fetch size; the default is 1000.

If you change the default sorting order, specify filtering, or change the fetch size, click Query to query the database using the criteria that you specified.

Other Tabs: The AR Model viewer has these other tabs: