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 is displayed 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.

See Also:

"AR Rules Display"

The Rules tab is divided into two sections: Filtering and Sorting in the upper section, and AR Rules Grid in the lower section. Sorting or filtering that is defined using the settings in the upper section apply to all the rules in the model. Sorting or filtering defined using the settings in the lower section apply to the grid display only.

You can perform the following functions in the Rules tab:

Sort By: You can specify the order for display of the rules. You can sort rules by:
- Lift, Confidence, Support, or Length
- Ascending or Descending order
For more sort options, click More. You can specify up to four levels of sorting, and you can specify the order for each level.

See Also:
"Sorting"
Filter: You can filter rules. To see filtering options, click More. You can specify the following in rules:
- Minimum Lift
- Minimum Support
- Minimum Confidence
- Maximum Items in Rules
- Minimum Items in Rules
See Also:
"Filtering"
Fetch Size: Association models often generate many rules. Specify the number of rules to examine by clicking Fetch Size. The default is 1000.
Query: You can query the database using the criteria that you specify. For example, if you change the default sorting order, specify filtering, or change the fetch size, then click Query.